Fix spelling errors in the text: 'Therefore' and 'Retrying
I want to stress that your feedback is invaluable to us and is genuinely
cherished.
With gratitude,
@baskaryan @hwchase17
Only lint on the min and max supported Python versions.
It's extremely unlikely that there's a lint issue on any version in
between that doesn't show up on the min or max versions.
GitHub rate-limits how many jobs can be running at any one time.
Starting new jobs is also relatively slow, so linting on fewer versions
makes CI faster.
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📜
- updated the top-level descriptions to a consistent format;
- changed the format of several 100% internal functions from "name" to
"_name". So, these functions are not shown in the Top-level API
Reference page (with lists of classes/functions)
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Using `poetry add` to install `pydantic@2.1` was also causing poetry to
change its lockfile. This prevented dependency caching from working:
- When attempting to restore a cache, it would hash the lockfile in git
and use it as part of the cache key. Say this is a cache miss.
- Then, it would attempt to save the cache -- but the lockfile will have
changed, so the cache key would be *different* than the key in the
lookup. So the cache save would succeed, but to a key that cannot be
looked up in the next run -- meaning we never get a cache hit.
In addition to busting the cache, the lockfile update itself is also
non-trivially long, over 30s:
This PR fixes the problems by using `pip` to perform the installation,
avoiding the lockfile change.
Refactored code to ensure consistent handling of ImportError. Replaced
instances of raising ValueError with raising ImportError.
The choice of raising a ValueError here is somewhat unconventional and
might lead to confusion for anyone reading the code. Typically, when
dealing with import-related errors, the recommended approach is to raise
an ImportError with a descriptive message explaining the issue. This
provides a clearer indication that the problem is related to importing
the required module.
@hwchase17 , @baskaryan , @eyurtsev
Thanks
Aashish
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
This PR fills in more missing type annotations on pydantic models.
It's OK if it missed some annotations, we just don't want it to get
annotations wrong at this stage.
I'll do a few more passes over the same files!
The previous caching configuration was attempting to cache poetry venvs
created in the default shared virtualenvs directory. However, all
langchain packages use `in-project = true` for their poetry virtualenv
setup, which moves the venv inside the package itself instead. This
meant that poetry venvs were not being cached at all.
This PR ensures that the venv gets cached by adding the in-project venv
directory to the cached directories list.
It also makes sure that the cache key *only* includes the lockfile being
installed, as opposed to *all lockfiles* (unnecessary cache misses) or
just the *top-level lockfile* (cache hits when it shouldn't).
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Removed extra "the" in the sentence about the chicken crossing the road
in fallbacks.ipynb. The sentence now reads correctly: "Why did the
chicken cross the road?" This resolves the grammatical error and
improves the overall quality of the content.
@baskaryan , @hinthornw , @hwchase17
I want to extend my heartfelt gratitude to the creator for masterfully
crafting this remarkable application. 🙌 I am truly impressed by the
meticulous attention to grammar and spelling in the documentation, which
undoubtedly contributes to a polished and seamless reader experience.
As always, your feedback holds immense value and is greatly appreciated.
@baskaryan , @hwchase17
I want to convey my deep appreciation to the creator for their expert
craftsmanship in developing this exceptional application. 👏 The
remarkable dedication to upholding impeccable grammar and spelling in
the documentation significantly enhances the polished and seamless
experience for readers.
I want to stress that your feedback is invaluable to us and is genuinely
cherished.
With gratitude,
@baskaryan, @hwchase17
In this commit, I have made a modification to the term "Langchain" to
correctly reflect the project's name as "LangChain". This change ensures
consistency and accuracy throughout the codebase and documentation.
@baskaryan , @hwchase17
Refined the example in router.ipynb by addressing a minor typographical
error. The typo "rins" has been corrected to "rains" in the code snippet
that demonstrates the usage of the MultiPromptChain. This change ensures
accuracy and consistency in the provided code example.
This improvement enhances the readability and correctness of the
notebook, making it easier for users to understand and follow the
demonstration. The commit aims to maintain the quality and accuracy of
the content within the repository.
Thank you for your attention to detail, and please review the change at
your convenience.
@baskaryan , @hwchase17
This PR fixes the Airbyte loaders when doing incremental syncs. The
notebooks are calling out to access `loader.last_state` to get the
current state of incremental syncs, but this didn't work due to a
refactoring of how the loaders are structured internally in the original
PR.
This PR fixes the issue by adding a `last_state` property that forwards
the state correctly from the CDK adapter.
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
- Description: Fix a minor variable naming inconsistency in a code
snippet in the docs
- Issue: N/A
- Dependencies: none
- Tag maintainer: N/A
- Twitter handle: N/A
## Type:
Improvement
---
## Description:
Running QAWithSourcesChain sometimes raises ValueError as mentioned in
issue #7184:
```
ValueError: too many values to unpack (expected 2)
Traceback:
response = qa({"question": pregunta}, return_only_outputs=True)
File "C:\Anaconda3\envs\iagen_3_10\lib\site-packages\langchain\chains\base.py", line 166, in __call__
raise e
File "C:\Anaconda3\envs\iagen_3_10\lib\site-packages\langchain\chains\base.py", line 160, in __call__
self._call(inputs, run_manager=run_manager)
File "C:\Anaconda3\envs\iagen_3_10\lib\site-packages\langchain\chains\qa_with_sources\base.py", line 132, in _call
answer, sources = re.split(r"SOURCES:\s", answer)
```
This is due to LLM model generating subsequent question, answer and
sources, that is complement in a similar form as below:
```
<final_answer>
SOURCES: <sources>
QUESTION: <new_or_repeated_question>
FINAL ANSWER: <new_or_repeated_final_answer>
SOURCES: <new_or_repeated_sources>
```
It leads the following line
```
re.split(r"SOURCES:\s", answer)
```
to return more than 2 elements and result in ValueError. The simple fix
is to split also with "QUESTION:\s" and take the first two elements:
```
answer, sources = re.split(r"SOURCES:\s|QUESTION:\s", answer)[:2]
```
Sometimes LLM might also generate some other texts, like alternative
answers in a form:
```
<final_answer_1>
SOURCES: <sources>
<final_answer_2>
SOURCES: <sources>
<final_answer_3>
SOURCES: <sources>
```
In such cases it is the best to split previously obtained sources with
new line:
```
sources = re.split(r"\n", sources.lstrip())[0]
```
---
## Issue:
Resolves#7184
---
## Maintainer:
@baskaryan
