- Update the load_tools method to properly accept `callbacks` arguments.
- Add a deprecation warning when `callback_manager` is passed
- Add two unit tests to check the deprecation warning is raised and to
confirm the callback is passed through.
Closes issue #4096
This commit adds support for passing binary_location to the SeleniumURLLoader when creating Chrome or Firefox web drivers.
This allows users to specify the Browser binary location which is required when deploying to services such as Heroku
This change also includes updated documentation and type hints to reflect the new binary_location parameter and its usage.
fixes#4304
Today, when running a chain without any arguments, the raised ValueError
incorrectly specifies that user provided "both positional arguments and
keyword arguments".
This PR adds a more accurate error in that case.
Related: #4028, I opened a new PR because (1) I was unable to unstage
mistakenly committed files (I'm not familiar with git enough to resolve
this issue), (2) I felt closing the original PR and opening a new PR
would be more appropriate if I changed the class name.
This PR creates HumanInputLLM(HumanLLM in #4028), a simple LLM wrapper
class that returns user input as the response. I also added a simple
Jupyter notebook regarding how and why to use this LLM wrapper. In the
notebook, I went over how to use this LLM wrapper and showed example of
testing `WikipediaQueryRun` using HumanInputLLM.
I believe this LLM wrapper will be useful especially for debugging,
educational or testing purpose.
- Added the `Wikipedia` document loader. It is based on the existing
`unilities/WikipediaAPIWrapper`
- Added a respective ut-s and example notebook
- Sorted list of classes in __init__
- made notebooks consistent: titles, service/format descriptions.
- corrected short names to full names, for example, `Word` -> `Microsoft
Word`
- added missed descriptions
- renamed notebook files to make ToC correctly sorted
Hello
1) Passing `embedding_function` as a callable seems to be outdated and
the common interface is to pass `Embeddings` instance
2) At the moment `Qdrant.add_texts` is designed to be used with
`embeddings.embed_query`, which is 1) slow 2) causes ambiguity due to 1.
It should be used with `embeddings.embed_documents`
This PR solves both problems and also provides some new tests
- Update the RunCreate object to work with recent changes
- Add optional Example ID to the tracer
- Adjust default persist_session behavior to attempt to load the session
if it exists
- Raise more useful HTTP errors for logging
- Add unit testing
- Fix the default ID to be a UUID for v2 tracer sessions
Broken out from the big draft here:
https://github.com/hwchase17/langchain/pull/4061
- confirm creation
- confirm functionality with a simple dimension check.
The test now is calling OpenAI API directly, but learning from
@vowelparrot that we’re caching the requests, so that it’s not that
expensive. I also found we’re calling OpenAI api in other integration
tests. Please lmk if there is any concern of real external API calls. I
can alternatively make a fake LLM for this test. Thanks
This implements a loader of text passages in JSON format. The `jq`
syntax is used to define a schema for accessing the relevant contents
from the JSON file. This requires dependency on the `jq` package:
https://pypi.org/project/jq/.
---------
Signed-off-by: Aivin V. Solatorio <avsolatorio@gmail.com>
This commit adds support for passing additional arguments to the
`SeleniumURLLoader ` when creating Chrome or Firefox web drivers.
Previously, only a few arguments such as `headless` could be passed in.
With this change, users can pass any additional arguments they need as a
list of strings using the `arguments` parameter.
The `arguments` parameter allows users to configure the driver with any
options that are available for that particular browser. For example,
users can now pass custom `user_agent` strings or `proxy` settings using
this parameter.
This change also includes updated documentation and type hints to
reflect the new `arguments` parameter and its usage.
fixes#4120
This PR updates the `message_line_regex` used by `WhatsAppChatLoader` to
support different date-time formats used in WhatsApp chat exports;
resolves#4153.
The new regex handles the following input formats:
```terminal
[05.05.23, 15:48:11] James: Hi here
[11/8/21, 9:41:32 AM] User name: Message 123
1/23/23, 3:19 AM - User 2: Bye!
1/23/23, 3:22_AM - User 1: And let me know if anything changes
```
Tests have been added to verify that the loader works correctly with all
formats.
expand is not an allowed parameter for the method
confluence.get_all_pages_by_label, since it doesn't return the body of
the text but just metadata of documents
Co-authored-by: Andrea Biondo <a.biondo@reply.it>
The forward ref annotations don't get updated if we only iimport with
type checking
---------
Co-authored-by: Abhinav Verma <abhinav_win12@yahoo.co.in>
`run_manager` was not being passed downstream. Not sure if this was a
deliberate choice but it seems like it broke many agent callbacks like
`agent_action` and `agent_finish`. This fix needs a proper review.
Co-authored-by: blob42 <spike@w530>
Bump threshold to 1.4 from 1.3. Change import to be compatible
Resolves#4142 and #4129
---------
Co-authored-by: ndaugreal <ndaugreal@gmail.com>
Co-authored-by: Jeremy Lopez <lopez86@users.noreply.github.com>
Having dev containers makes its easier, faster and secure to setup the
dev environment for the repository.
The pull request consists of:
- .devcontainer folder with:
- **devcontainer.json :** (minimal necessary vscode extensions and
settings)
- **docker-compose.yaml :** (could be modified to run necessary services
as per need. Ex vectordbs, databases)
- **Dockerfile:**(non root with dev tools)
- Changes to README - added the Open in Github Codespaces Badge - added
the Open in dev container Badge
Co-authored-by: Jinto Jose <129657162+jj701@users.noreply.github.com>