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---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
Builds out a developer documentation section in the docs
- Links it from contributing.md
- Adds an initial guide on how to contribute an integration
---------
Co-authored-by: Bagatur <baskaryan@gmail.com>
… (#14723)
- **Description:** Minor updates per marketing requests. Namely, name
decisions (AI Foundation Models / AI Playground)
- **Tag maintainer:** @hinthornw
Do want to pass around the PR for a bit and ask a few more marketing
questions before merge, but just want to make sure I'm not working in a
vacuum. No major changes to code functionality intended; the PR should
be for documentation and only minor tweaks.
Note: QA model is a bit borked across staging/prod right now. Relevant
teams have been informed and are looking into it, and I'm placeholdered
the response to that of a working version in the notebook.
Co-authored-by: Vadim Kudlay <32310964+VKudlay@users.noreply.github.com>
Add a new ChatGoogleGenerativeAI class in a `langchain-google-genai`
package.
Still todo: add a deprecation warning in PALM
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Fix some circular deps:
- move PromptValue into top level module bc both PromptTemplates and
OutputParsers import
- move tracer context vars to `tracers.context` and import them in
functions in `callbacks.manager`
- add core import tests
My thought is that the ==version would prevent pip from finding the
package on regular [pypi.org](http://pypi.org/), so it would look at
[test.pypi.org](http://test.pypi.org/) for that. Otherwise it'll pull
package from [pypi.org](http://pypi.org/) (e.g. sub deps)
Right now, the cli release is failing because it's going to
test.pypi.org by default, so it finds this incorrect FASTAPI package
instead of the real one: https://test.pypi.org/project/FASTAPI/
The new ruff version fixed the blocking bugs, and I was able to fairly
easily us to a passing state: ruff fixed some issues on its own, I fixed
a handful by hand, and I added a list of narrowly-targeted exclusions
for files that are currently failing ruff rules that we probably should
look into eventually.
I went pretty lenient on the docs / cookbooks rules, allowing dead code
and such things. Perhaps in the future we may want to tighten the rules
further, but this is already a good set of checks that found real issues
and will prevent them going forward.
PyPI trusted publishing wants to know which workflow is expected to do
the publish. We always want to publish from the same workflow, so we're
making `_test_release.yml` the only workflow that publishes to Test
PyPI.
This follows the principle of least privilege. Our `poetry build` step
doesn't need, and shouldn't get, access to our GitHub OIDC capability.
This is the same structure as I used in the already-merged PR for
refactoring the regular PyPI release workflow: #12578.
Best to review one commit at a time, since two of the commits are 100%
autogenerated changes from running `ruff format`:
- Install and use `ruff format` instead of black for code formatting.
- Output of `ruff format .` in the `langchain` package.
- Use `ruff format` in experimental package.
- Format changes in experimental package by `ruff format`.
- Manual formatting fixes to make `ruff .` pass.
Before making a new `langchain` release, we want to test that everything
works as expected. This PR lets us publish `langchain` to test PyPI,
then install it from there and run checks to ensure everything works
normally before publishing it "for real".
It also takes the opportunity to refactor the build process, splitting
up the build, release-creation, and PyPI upload steps into separate jobs
that do not share their elevated permissions with each other.
Adds a `langchain-location` param to lint, so we can properly locate it.
Regular langchain and experimental lint steps are passing, so default
value seems to be working.
Will run all CI because of _test change, but future PRs against CLI will
only trigger the new CLI one
Has a bunch of file changes related to formatting/linting.
No mypy yet - coming soon
code of conduct.md file is missing it is generally present in good repos
which have large community
Replace this entire comment with:
- **Description:** Added a `code_of_conduct.md` file to the repository
to establish community standards and guidelines for contributors.
- **Issue:** N/A
- **Dependencies:** N/A
- **Tag maintainer:** N/A
---------
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
We don't use any of the new functionality at the moment. Just making
sure we don't fall back on versions and fail to benefit from new
patches. This is an easy upgrade and it's always harder to upgrade
across multiple major versions at once.
Adding description of the `View deployment` button on the PR page. This
nice feature was not documented.
---------
Co-authored-by: Erick Friis <erickfriis@gmail.com>
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Replace this entire comment with:
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- **Issue:** the issue # it fixes (if applicable),
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Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.
See contribution guidelines for more information on how to write/run
tests, lint, etc:
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If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in `docs/extras`
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If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
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### Description
renamed several repository links from `hwchase17` to `langchain-ai`.
### Why
I discovered that the README file in the devcontainer contains an old
repository name, so I took the opportunity to rename the old repository
name in all files within the repository, excluding those that do not
require changes.
### Dependencies
none
### Tag maintainer
@baskaryan
### Twitter handle
[kzk_maeda](https://twitter.com/kzk_maeda)
Adds LangServe package
* Integrate Runnables with Fast API creating Server and a RemoteRunnable
client
* Support multiple runnables for a given server
* Support sync/async/batch/abatch/stream/astream/astream_log on the
client side (using async implementations on server)
* Adds validation using annotations (relying on pydantic under the hood)
-- this still has some rough edges -- e.g., open api docs do NOT
generate correctly at the moment
* Uses pydantic v1 namespace
Known issues: type translation code doesn't handle a lot of types (e.g.,
TypedDicts)
---------
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
`mypy` cannot type-check code that relies on dependencies that aren't
installed.
Eventually we'll probably want to install as many optional dependencies
as possible. However, the full "extended deps" setup for langchain
creates a 3GB cache file and takes a while to unpack and install. We'll
probably want something a bit more targeted.
This is a first step toward something better.
A test file was accidentally dropping a `results.json` file in the
current working directory as a result of running `make test`.
This is undesirable, since we don't want to risk accidentally adding
stray files into the repo if we run tests locally and then do `git add
.` without inspecting the file list very closely.
It seems the caching action was not always correctly recreating
softlinks. At first glance, the softlinks it created seemed fine, but
they didn't always work. Possibly hitting some kind of underlying bug,
but not particularly worth debugging in depth -- we can manually create
the soft links we need.
- Revert "Temporarily disable step that seems to be transiently failing.
(#10234)"
- Refresh shell hashtable and show poetry/python location and version.
Make sure that changes to CI infrastructure get tested on CI before
being merged.
Without this PR, changes to the poetry setup action don't trigger a CI
run and in principle could break `master` when merged.
### Description
The feature for anonymizing data has been implemented. In order to
protect private data, such as when querying external APIs (OpenAI), it
is worth pseudonymizing sensitive data to maintain full privacy.
Anonynization consists of two steps:
1. **Identification:** Identify all data fields that contain personally
identifiable information (PII).
2. **Replacement**: Replace all PIIs with pseudo values or codes that do
not reveal any personal information about the individual but can be used
for reference. We're not using regular encryption, because the language
model won't be able to understand the meaning or context of the
encrypted data.
We use *Microsoft Presidio* together with *Faker* framework for
anonymization purposes because of the wide range of functionalities they
provide. The full implementation is available in `PresidioAnonymizer`.
### Future works
- **deanonymization** - add the ability to reverse anonymization. For
example, the workflow could look like this: `anonymize -> LLMChain ->
deanonymize`. By doing this, we will retain anonymity in requests to,
for example, OpenAI, and then be able restore the original data.
- **instance anonymization** - at this point, each occurrence of PII is
treated as a separate entity and separately anonymized. Therefore, two
occurrences of the name John Doe in the text will be changed to two
different names. It is therefore worth introducing support for full
instance detection, so that repeated occurrences are treated as a single
object.
### Twitter handle
@deepsense_ai / @MaksOpp
---------
Co-authored-by: MaksOpp <maks.operlejn@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
