Mainline the tracer to avoid calling feedback before run is posted.
Chose a bool over `max_workers` arg for configuring since we don't want
to support > 1 for now anyway. At some point may want to manage the pool
ourselves (ordering only really matters within a run and with parent
runs)
# Browserless
Added support for Browserless' `/content` endpoint as a document loader.
### About Browserless
Browserless is a cloud service that provides access to headless Chrome
browsers via a REST API. It allows developers to automate Chromium in a
serverless fashion without having to configure and maintain their own
Chrome infrastructure.
---------
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Lance Martin <lance@langchain.dev>
With AzureOpenAI openai_api_type defaulted to "azure" the logic in
utils' get_from_dict_or_env() function triggered by the root validator
never looks to environment for the user's runtime openai_api_type
values. This inhibits folks using token-based auth, or really any auth
model other than "azure."
By removing the "default" value, this allows environment variables to be
pulled at runtime for the openai_api_type and thus enables the other
api_types which are expected to work.
---------
Co-authored-by: Ebo <mebstyne@microsoft.com>
Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>
This PR is aimed at enhancing the clarity of the documentation in the
langchain project.
**Description**:
In the graphql.ipynb file, I have removed the unnecessary 'llm' argument
from the initialization process of the GraphQL tool (of type
_EXTRA_OPTIONAL_TOOLS). The 'llm' argument is not required for this
process. Its presence could potentially confuse users. This modification
simplifies the understanding of tool initialization and minimizes
potential confusion.
**Issue**: Not applicable, as this is a documentation improvement.
**Dependencies**: None.
**I kindly request a review from the following maintainer**: @hinthornw,
who is responsible for Agents / Tools / Toolkits.
No new integration is being added in this PR, hence no need for a test
or an example notebook.
Please see the changes for more detail and let me know if any further
modification is necessary.
- Migrate from deprecated langchainplus_sdk to `langsmith` package
- Update the `run_on_dataset()` API to use an eval config
- Update a number of evaluators, as well as the loading logic
- Update docstrings / reference docs
- Update tracer to share single HTTP session
Retrieves the name of the class from new location as of commit
18af149e91
Co-authored-by: Zander Chase <130414180+vowelparrot@users.noreply.github.com>
Sometimes the score responded by chatgpt would be like 'Respone
example\nScore: 90 (fully answers the question, but could provide more
detail on the specific error message)'
For the score contains not only numbers, it raise a ValueError like
Update the RegexParser from `.*` to `\d*` would help us to ignore the
text after number.
Co-authored-by: Bagatur <baskaryan@gmail.com>
Fixed#6768.
This is a workaround only. I think a better longer-term solution is for
chains to declare how many input variables they *actually* need (as
opposed to ones that are in the prompt, where some may be satisfied by
the memory). Then, a wrapping chain can check the input match against
the actual input variables.
@hwchase17
Added fix to avoid irrelevant attributes being returned plus an example
of extracting unrelated entities and an exampe of using an 'extra_info'
attribute to extract unstructured data for an entity.
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
Added an option to trim intermediate steps to last N steps. This is
especially useful for long-running agents. Users can explicitly specify
N or provide a function that does custom trimming/manipulation on
intermediate steps. I've mimicked the API of the `handle_parsing_errors`
parameter.
Converting the Similarity obtained in the
similarity_search_with_score_by_vector method whilst comparing to the
passed
threshold. This is because the passed threshold is a number between 0 to
1 and is already in the relevance_score_fn format.
As of now, the function is comparing two different scoring parameters
and that wouldn't work.
Dependencies
None
Issue:
Different scores being compared in
similarity_search_with_score_by_vector method in FAISS.
Tag maintainer
@hwchase17
<!-- Thank you for contributing to LangChain!
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- Issue: the issue # it fixes (if applicable),
- Dependencies: any dependencies required for this change,
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2. an example notebook showing its use.
Maintainer responsibilities:
- General / Misc / if you don't know who to tag: @dev2049
- DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev
- Models / Prompts: @hwchase17, @dev2049
- Memory: @hwchase17
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---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
Adds a new document transformer that automatically extracts metadata for
a document based on an input schema. I also moved
`document_transformers.py` to `document_transformers/__init__.py` to
group it with this new transformer - it didn't seem to cause issues in
the notebook, but let me know if I've done something wrong there.
Also had a linter issue I couldn't figure out:
```
MacBook-Pro:langchain jacoblee$ make lint
poetry run mypy .
docs/dist/conf.py: error: Duplicate module named "conf" (also at "./docs/api_reference/conf.py")
docs/dist/conf.py: note: See https://mypy.readthedocs.io/en/stable/running_mypy.html#mapping-file-paths-to-modules for more info
docs/dist/conf.py: note: Common resolutions include: a) using `--exclude` to avoid checking one of them, b) adding `__init__.py` somewhere, c) using `--explicit-package-bases` or adjusting MYPYPATH
Found 1 error in 1 file (errors prevented further checking)
make: *** [lint] Error 2
```
@rlancemartin @baskaryan
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
- Description: Add two new document transformers that translates
documents into different languages and converts documents into q&a
format to improve vector search results. Uses OpenAI function calling
via the [doctran](https://github.com/psychic-api/doctran/tree/main)
library.
- Issue: N/A
- Dependencies: `doctran = "^0.0.5"`
- Tag maintainer: @rlancemartin @eyurtsev @hwchase17
- Twitter handle: @psychicapi or @jfan001
Notes
- Adheres to the `DocumentTransformer` abstraction set by @dev2049 in
#3182
- refactored `EmbeddingsRedundantFilter` to put it in a file under a new
`document_transformers` module
- Added basic docs for `DocumentInterrogator`, `DocumentTransformer` as
well as the existing `EmbeddingsRedundantFilter`
---------
Co-authored-by: Lance Martin <lance@langchain.dev>
Co-authored-by: Bagatur <baskaryan@gmail.com>
## Summary
This PR corrects the checks for credentials_profile_name, and
region_name attributes. This was causing validation exceptions when
either of these values were missing during creation of the retriever
class.
Fixes#7571
#### Requested reviewers:
@baskaryan
Updates to the WhyLabsCallbackHandler and example notebook
- Update dependency to langkit 0.0.6 which defines new helper methods
for callback integrations
- Update WhyLabsCallbackHandler to use the new `get_callback_instance`
so that the callback is mostly defined in langkit
- Remove much of the implementation of the WhyLabsCallbackHandler here
in favor of the callback instance
This does not change the behavior of the whylabs callback handler
implementation but is a reorganization that moves some of the
implementation externally to our optional dependency package, and should
make future updates easier.
@agola11
Probably the most boring PR to review ;)
Individual commits might be easier to digest
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
- Description: Adds a new chain that acts as a wrapper around Sympy to
give LLMs the ability to do some symbolic math.
- Dependencies: SymPy
---------
Co-authored-by: sreiswig <sreiswig@github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
# Description
This PR adds model architecture to the `WandbTracer` from the Serialized
Run kwargs. This allows visualization of the calling parameters of an
Agent, LLM and Tool in Weights & Biases.
1. Safely serialize the run objects to WBTraceTree model_dict
2. Refactors the run processing logic to be more organized.
- Twitter handle: @parambharat
---------
Co-authored-by: Bharat Ramanathan <ramanathan.parameshwaran@gohuddl.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Description: I wanted to be able to redirect debug output to a function,
but it wasn't very easy. I figured it would make sense to implement a
`FunctionCallbackHandler`, and reimplement `ConsoleCallbackHandler` as a
subclass that calls the `print` function. Now I can create a simple
subclass in my project that calls `logging.info` or whatever I need.
Tag maintainer: @agola11
Twitter handle: `@andandaraalex`
Added an _endpoint_url_ attribute to Bedrock(LLM) class - I have access
to Bedrock only via us-west-2 endpoint and needed to change the endpoint
url, this could be useful to other users
This change makes the ecosystem integrations cnosdb documentation more
realistic and easy to understand.
- change examples of question and table
- modify typo and format
When using callbacks, there are times when callbacks can be added
redundantly: for instance sometimes you might need to create an llm with
specific callbacks, but then also create and agent that uses a chain
that has those callbacks already set. This means that "callbacks" might
get passed down again to the llm at predict() time, resulting in
duplicate calls to the `on_llm_start` callback.
For the sake of simplicity, I made it so that langchain never adds an
exact handler/callbacks object in `add_handler`, thus avoiding the
duplicate handler issue.
Tagging @hwchase17 for callback review
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
- Description: add wrapper that lets you use KoboldAI api in langchain
- Issue: n/a
- Dependencies: none extra, just what exists in lanchain
- Tag maintainer: @baskaryan
- Twitter handle: @zanzibased
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
- **Description**: Current implementation assumes that the length of
`texts` and `ids` should be same but if the passed `ids` length is not
equal to the passed length of `texts`, current code
`dict(zip(index_to_id.values(), documents))` is not failing or giving
any warning and silently creating docstores only for the passed `ids`
i.e. if `ids = ['A']` and `texts=["I love Open Source","I love
langchain"]` then only one `docstore` will be created. But either two
docstores should be created assuming same id value for all the elements
of `texts` or an error should be raised.
- **Issue**: My change fixes this by using dictionary comprehension
instead of `zip`. This was if lengths of `ids` and `texts` mismatches an
explicit `IndexError` will be raised.
@rlancemartin, @eyurtsev
fix#7569
add following properties for Notion DB document loader's metadata
- `unique_id`
- `status`
- `people`
@rlancemartin, @eyurtsev (Since this is a change related to
`DataLoaders`)
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
Currently `ChatOutputParser` extracts actions by splitting the text on
"```", and then load the second part as a json string.
But sometimes the LLM will wrap the action in markdown code block like:
````markdown
```json
{
"action": "foo",
"action_input": "bar"
}
```
````
Splitting text on "```" will cause `OutputParserException` in such case.
This PR changes the behaviour to extract the `$JSON_BLOB` by regex, so
that it can handle both ` ``` ``` ` and ` ```json ``` `
@hinthornw
---------
Co-authored-by: Junlin Zhou <jlzhou@zjuici.com>
**Description: a description of the change**
Fixed `make docs_build` and related scripts which caused errors. There
are several changes.
First, I made the build of the documentation and the API Reference into
two separate commands. This is because it takes less time to build. The
commands for documents are `make docs_build`, `make docs_clean`, and
`make docs_linkcheck`. The commands for API Reference are `make
api_docs_build`, `api_docs_clean`, and `api_docs_linkcheck`.
It looked like `docs/.local_build.sh` could be used to build the
documentation, so I used that. Since `.local_build.sh` was also building
API Rerefence internally, I removed that process. `.local_build.sh` also
added some Bash options to stop in error or so. Futher more added `cd
"${SCRIPT_DIR}"` at the beginning so that the script will work no matter
which directory it is executed in.
`docs/api_reference/api_reference.rst` is removed, because which is
generated by `docs/api_reference/create_api_rst.py`, and added it to
.gitignore.
Finally, the description of CONTRIBUTING.md was modified.
**Issue: the issue # it fixes (if applicable)**
https://github.com/hwchase17/langchain/issues/6413
**Dependencies: any dependencies required for this change**
`nbdoc` was missing in group docs so it was added. I installed it with
the `poetry add --group docs nbdoc` command. I am concerned if any
modifications are needed to poetry.lock. I would greatly appreciate it
if you could pay close attention to this file during the review.
**Tag maintainer**
- General / Misc / if you don't know who to tag: @baskaryan
If this PR needs any additional changes, I'll be happy to make them!
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
Description: Refactor the upsert method in the Pinecone class to allow
for additional keyword arguments. This change adds flexibility and
extensibility to the method, allowing for future modifications or
enhancements. The upsert method now accepts the `**kwargs` parameter,
which can be used to pass any additional arguments to the Pinecone
index. This change has been made in both the `upsert` method in the
`Pinecone` class and the `upsert` method in the
`similarity_search_with_score` class method. Falls in line with the
usage of the upsert method in
[Pinecone-Python-Client](4640c4cf27/pinecone/index.py (L73))
Issue: [This feature request in Pinecone
Repo](https://github.com/pinecone-io/pinecone-python-client/issues/184)
Maintainer responsibilities:
- General / Misc / if you don't know who to tag: @baskaryan
- Memory: @hwchase17
---------
Co-authored-by: kwesi <22204443+yankskwesi@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Lance Martin <122662504+rlancemartin@users.noreply.github.com>
### Description:
This PR introduces a new option format_diff to the existing Makefile.
This option allows us to apply the formatting tools (Black and isort)
only to the changed Python and ipynb files since the last commit. This
will make our development process more efficient as we only format the
codes that we modify. Along with this change, comments were added to
make the Makefile more understandable and maintainable.
### Issue:
N/A
### Dependencies:
Add dependency to black.
### Tag maintainer:
@baskaryan
### Twitter handle:
[kzk_maeda](https://twitter.com/kzk_maeda)
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
