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labels : [ Question]
body :
- type : markdown
attributes :
value : |
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Thanks for your interest in LangChain 🦜️🔗!
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Please follow these instructions, fill every question, and do every step. 🙏
We're asking for this because answering questions and solving problems in GitHub takes a lot of time --
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this is time that we cannot spend on adding new features, fixing bugs, writing documentation or reviewing pull requests.
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By asking questions in a structured way (following this) it will be much easier for us to help you.
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There's a high chance that by following this process, you'll find the solution on your own, eliminating the need to submit a question and wait for an answer. 😎
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As there are many questions submitted every day, we will **DISCARD** and close the incomplete ones.
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That will allow us (and others) to focus on helping people like you that follow the whole process. 🤓
Relevant links to check before opening a question to see if your question has already been answered, fixed or
if there's another way to solve your problem :
[ LangChain documentation with the integrated search](https://python.langchain.com/docs/get_started/introduction),
[ API Reference](https://api.python.langchain.com/en/stable/),
[ GitHub search](https://github.com/langchain-ai/langchain),
[ LangChain Github Discussions](https://github.com/langchain-ai/langchain/discussions),
[ LangChain Github Issues](https://github.com/langchain-ai/langchain/issues?q=is%3Aissue),
[ LangChain ChatBot](https://chat.langchain.com/)
- type : checkboxes
id : checks
attributes :
label : Checked other resources
description : Please confirm and check all the following options.
options :
- label : I added a very descriptive title to this question.
required : true
- label : I searched the LangChain documentation with the integrated search.
required : true
- label : I used the GitHub search to find a similar question and didn't find it.
required : true
- type : checkboxes
id : help
attributes :
label : Commit to Help
description : |
After submitting this, I commit to one of :
* Read open questions until I find 2 where I can help someone and add a comment to help there.
* I already hit the "watch" button in this repository to receive notifications and I commit to help at least 2 people that ask questions in the future.
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* Once my question is answered, I will mark the answer as "accepted".
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options :
- label : I commit to help with one of those options 👆
required : true
- type : textarea
id : example
attributes :
label : Example Code
description : |
Please add a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with your use case.
If a maintainer can copy it, run it, and see it right away, there's a much higher chance that you'll be able to get help.
**Important!**
* Use code tags (e.g., ```python ... ```) to correctly [format your code](https://help.github.com/en/github/writing-on-github/creating-and-highlighting-code-blocks#syntax-highlighting).
* INCLUDE the language label (e.g. `python`) after the first three backticks to enable syntax highlighting. (e.g., ```python rather than ```).
* Reduce your code to the minimum required to reproduce the issue if possible. This makes it much easier for others to help you.
* Avoid screenshots when possible, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
placeholder : |
from langchain_core.runnables import RunnableLambda
def bad_code(inputs) -> int :
raise NotImplementedError('For demo purpose')
chain = RunnableLambda(bad_code)
chain.invoke('Hello!')
render : python
validations :
required : true
- type : textarea
id : description
attributes :
label : Description
description : |
What is the problem, question, or error?
Write a short description explaining what you are doing, what you expect to happen, and what is currently happening.
placeholder : |
* I'm trying to use the `langchain` library to do X.
* I expect to see Y.
* Instead, it does Z.
validations :
required : true
- type : textarea
id : system-info
attributes :
label : System Info
description : |
Please share your system info with us.
"pip freeze | grep langchain"
platform (windows / linux / mac)
python version
OR if you're on a recent version of langchain-core you can paste the output of :
python -m langchain_core.sys_info
placeholder : |
"pip freeze | grep langchain"
platform
python version
Alternatively, if you're on a recent version of langchain-core you can paste the output of :
python -m langchain_core.sys_info
These will only surface LangChain packages, don't forget to include any other relevant
packages you're using (if you're not sure what's relevant, you can paste the entire output of `pip freeze`).
validations :
required : true