Commit Graph

782 Commits (e5f5d9ff563b6f71bb3ebbccac729c10fb851b3a)

Author SHA1 Message Date
Tomaz Bratanic 8c08cf4619
community: Add support for relationship indexes in neo4j vector (#20657)
Neo4j has added relationship vector indexes.
We can't populate them, but we can use existing indexes for retrieval
4 months ago
Charlie Holtz 1cbab0ebda
community: update Replicate to work with official models (#20633)
Description: you don't need to pass a version for Replicate official
models. That was broken on LangChain until now!

You can now run: 

```
llm = Replicate(
    model="meta/meta-llama-3-8b-instruct",
    model_kwargs={"temperature": 0.75, "max_length": 500, "top_p": 1},
)
prompt = """
User: Answer the following yes/no question by reasoning step by step. Can a dog drive a car?
Assistant:
"""
llm(prompt)
```

I've updated the replicate.ipynb to reflect that.

twitter: @charliebholtz

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
4 months ago
Congyu dd5139e304
community[patch]: truncate zhipuai `temperature` and `top_p` parameters to [0.01, 0.99] (#20261)
ZhipuAI API only accepts `temperature` parameter between `(0, 1)` open
interval, and if `0` is passed, it responds with status code `400`.

However, 0 and 1 is often accepted by other APIs, for example, OpenAI
allows `[0, 2]` for temperature closed range.

This PR truncates temperature parameter passed to `[0.01, 0.99]` to
improve the compatibility between langchain's ecosystem's and ZhipuAI
(e.g., ragas `evaluate` often generates temperature 0, which results in
a lot of 400 invalid responses). The PR also truncates `top_p` parameter
since it has the same restriction.

Reference: [glm-4 doc](https://open.bigmodel.cn/dev/api#glm-4) (which
unfortunately is in Chinese though).

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
Lance Martin d5c22b80a5
community[patch]: Fix Ollama for LLaMA3 (#20624)
We see verbose generations w/ LLaMA3 and Ollama - 

https://smith.langchain.com/public/88c4cd21-3d57-4229-96fe-53443398ca99/r

--- 

Fix here implies that when stop was being set to an empty list, the
stream had no conditions under which to stop, which could lead to
excessive or unintended output.

Test LLaMA2 - 

https://smith.langchain.com/public/57dfc64a-591b-46fa-a1cd-8783acaefea2/r

Test LLaMA3 - 

https://smith.langchain.com/public/76ff5f47-ac89-4772-a7d2-5caa907d3fd6/r

https://smith.langchain.com/public/a31d2fad-9094-4c93-949a-964b27630ccb/r

Test Mistral -

https://smith.langchain.com/public/a4fe7114-c308-4317-b9fd-6c86d31f1c5b/r

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
4 months ago
hulitaitai 7d0a008744
community[minor]: Add audio-parser "faster-whisper" in audio.py (#20012)
faster-whisper is a reimplementation of OpenAI's Whisper model using
CTranslate2, which is up to 4 times faster than enai/whisper for the
same accuracy while using less memory. The efficiency can be further
improved with 8-bit quantization on both CPU and GPU.

It can automatically detect the following 14 languages and transcribe
the text into their respective languages: en, zh, fr, de, ja, ko, ru,
es, th, it, pt, vi, ar, tr.

The gitbub repository for faster-whisper is :
    https://github.com/SYSTRAN/faster-whisper

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
4 months ago
Guangdong Liu e3c2431c5b
comminuty[patch]:Fix Error in apache doris insert (#19989)
- **Issue:** #19886
4 months ago
Tomaz Bratanic 27370b679e
community[patch]: Ignore null and invalid embedding values for neo4j metadata filtering (#20558) 4 months ago
Massimiliano Pronesti 2542a09abc
community[patch]: AzureSearch incorrectly converted to retriever (#20601)
Closes #20600.

Please see the issue for more details.
4 months ago
Christophe Bornet 8f0b5687a3
community[minor]: Add hybrid search to Cassandra VectorStore (#20286)
Only supported by Astra DB at the moment.
**Twitter handle:** cbornet_
4 months ago
Christophe Bornet d2d01370bc
community[minor]: Add async methods to CassandraLoader (#20609)
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
4 months ago
balloonio e786da7774
community[patch]: Invoke callback prior to yielding token fix [HuggingFaceTextGenInference] (#20426)
…gFaceTextGenInference)

- [x] **PR title**: community[patch]: Invoke callback prior to yielding
token fix for [HuggingFaceTextGenInference]


- [x] **PR message**: 
- **Description:** Invoke callback prior to yielding token in stream
method in [HuggingFaceTextGenInference]
    - **Issue:** https://github.com/langchain-ai/langchain/issues/16913
    - **Dependencies:** None
    - **Twitter handle:** @bolun_zhang

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
4 months ago
Ethan Yang 2d6d796040
community: Add save_model function for openvino reranker and embedding (#19896) 4 months ago
zR 9c1d7f2405
update zhipuai notebook (#20595)
fix timeout issue
fix zhipuai usecase notebookbook

Thank you for contributing to LangChain!

- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core,
experimental, etc. is being modified. Use "docs: ..." for purely docs
changes, "templates: ..." for template changes, "infra: ..." for CI
changes.
  - Example: "community: add foobar LLM"


- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** a description of the change
    - **Issue:** the issue # it fixes, if applicable
    - **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!


- [ ] **Add tests and docs**: 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/docs/integrations` directory.


- [ ] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/

Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.
4 months ago
ccurme c897264b9b
community: (milvus) check for num_shards (#20603)
@rgupta2508 I believe this change is necessary following
https://github.com/langchain-ai/langchain/pull/20318 because of how
Milvus handles defaults:


59bf5e811a/pymilvus/client/prepare.py (L82-L85)
```python
num_shards = kwargs[next(iter(same_key))]
if not isinstance(num_shards, int):
    msg = f"invalid num_shards type, got {type(num_shards)}, expected int"
    raise ParamError(message=msg)
req.shards_num = num_shards
```
this way lets Milvus control the default value (instead of maintaining a
separate default in Langchain).

Let me know if I've got this wrong or you feel it's unnecessary. Thanks.
4 months ago
Rohit Gupta 25c4c24e89
Support to create shards_num in milvus vectorstores (#20318)
To support number of the shards for the collection to create in milvus
vvectorstores.

Thank you for contributing to LangChain!

- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core,
experimental, etc. is being modified. Use "docs: ..." for purely docs
changes, "templates: ..." for template changes, "infra: ..." for CI
changes.
  - Example: "community: add foobar LLM"


- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** a description of the change
    - **Issue:** the issue # it fixes, if applicable
    - **Dependencies:** any dependencies required for this change
- **Twitter handle:** if your PR gets announced, and you'd like a
mention, we'll gladly shout you out!


- [ ] **Add tests and docs**: 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/docs/integrations` directory.


- [ ] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/

Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.
4 months ago
Erick Friis e395115807
docs: aws docs updates (#20571) 4 months ago
Erick Friis f09bd0b75b
upstage: init package (#20574)
Co-authored-by: Sean Cho <sean@upstage.ai>
Co-authored-by: JuHyung-Son <sonju0427@gmail.com>
4 months ago
Marco Perini 11c9ed3362
community[patch]: exposing headless flag parameter to AsyncChromiumLoader class (#20424)
- **Description:** added the headless parameter as optional argument to
the langchain_community.document_loaders AsyncChromiumLoader class
  - **Dependencies:** None
  - **Twitter handle:** @perinim_98

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Christophe Bornet a22da4315b
community[patch]: Replace function in CassandraVectorStore with simpler lambda (#20323) 4 months ago
Christophe Bornet 75733c5cc1
community[minor]: Improve CassandraVectorStore from_texts (#20284) 4 months ago
Tomer Cagan 463160c3f6
community: fix `DirectoryLoader` progress bar (#19821)
**Description:** currently, the `DirectoryLoader` progress-bar maximum value is based on an incorrect number of files to process

In langchain_community/document_loaders/directory.py:127:

```python
        paths = p.rglob(self.glob) if self.recursive else p.glob(self.glob)
        items = [
            path
            for path in paths
            if not (self.exclude and any(path.match(glob) for glob in self.exclude))
        ]
```

`paths` returns both files and directories. `items` is later used to determine the maximum value of the progress-bar which gives an incorrect progress indication.
4 months ago
Pengcheng Liu ecd19a9e58
community[patch]: Add function call support in Tongyi chat model. (#20119)
- [ ] **PR message**: 
- **Description:** This pr adds function calling support in Tongyi chat
model.
    - **Issue:** None
    - **Dependencies:** None
    - **Twitter handle:** None

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
kaijietti 80679ab906
zep[patch]: implement add_messages and aadd_messages (#20099)
This PR implement `add_messages` and `aadd_messages` to avoid
unnecessary round-trips.
4 months ago
Sevin F. Varoglu 3f156e0ece
community[minor]: add ChatOctoAI (#20059)
This PR adds ChatOctoAI, a chat model integration for OctoAI.
4 months ago
Eun Hye Kim b34f1086fe
community[patch]: Add streaming logic in ChatHuggingFace (#18784)
- Add functions (_stream, _astream)
- Connect to _generate and _agenerate

Thank you for contributing to LangChain!

- [x] **PR title**: "community: Add streaming logic in ChatHuggingFace"

- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** Addition functions (_stream, _astream) and connection
to _generate and _agenerate
    - **Issue:** #18782
    - **Dependencies:** none
    - **Twitter handle:** @lunara_x
4 months ago
pjb157 479be3cc91
community[minor]: Unify Titan Takeoff Integrations and Adding Embedding Support (#18775)
**Community: Unify Titan Takeoff Integrations and Adding Embedding
Support**

 **Description:** 
Titan Takeoff no longer reflects this either of the integrations in the
community folder. The two integrations (TitanTakeoffPro and
TitanTakeoff) where causing confusion with clients, so have moved code
into one place and created an alias for backwards compatibility. Added
Takeoff Client python package to do the bulk of the work with the
requests, this is because this package is actively updated with new
versions of Takeoff. So this integration will be far more robust and
will not degrade as badly over time.

**Issue:**
Fixes bugs in the old Titan integrations and unified the code with added
unit test converge to avoid future problems.

**Dependencies:**
Added optional dependency takeoff-client, all imports still work without
dependency including the Titan Takeoff classes but just will fail on
initialisation if not pip installed takeoff-client

**Twitter**
@MeryemArik9

Thanks all :)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
Rahul Triptahi 2cbfc94bcb
community[patch]: Add support for authorized identities in PebbloSafeLoader. (#20055)
Description: Add support for authorized identities in PebbloSafeLoader.
Now with this change, PebbloSafeLoader will extract
authorized_identities from metadata and send it to pebblo server
Dependencies: None
Documentation: None

Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
4 months ago
Guangdong Liu b78ede2f96
community[patch]: standardize init args (#20166)
Related to https://github.com/langchain-ai/langchain/issues/20085

@baskaryan
4 months ago
Guangdong Liu 3729bec1a2
community[patch]: standardize init args (#20210)
Related to https://github.com/langchain-ai/langchain/issues/20085

@baskaryan
4 months ago
sdan a7c5e41443
community[minor]: Added VLite as VectorStore (#20245)
Support [VLite](https://github.com/sdan/vlite) as a new VectorStore
type.

**Description**:
vlite is a simple and blazing fast vector database(vdb) made with numpy.
It abstracts a lot of the functionality around using a vdb in the
retrieval augmented generation(RAG) pipeline such as embeddings
generation, chunking, and file processing while still giving developers
the functionality to change how they're made/stored.

**Before submitting**:
Added tests
[here](c09c2ebd5c/libs/community/tests/integration_tests/vectorstores/test_vlite.py)
Added ipython notebook
[here](c09c2ebd5c/docs/docs/integrations/vectorstores/vlite.ipynb)
Added simple docs on how to use
[here](c09c2ebd5c/docs/docs/integrations/providers/vlite.mdx)

**Profiles**

Maintainers: @sdan
Twitter handles: [@sdand](https://x.com/sdand)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Hyeongchan Kim 7824291252
community[patch]: Fix not to cast to str type when `file_path` is None (#20057)
From `langchain_community 0.0.30`, there's a bug that cannot send a
file-like object via `file` parameter instead of `file path` due to
casting the `file_path` to str type even if `file_path` is None.

which means that when I call the `partition_via_api()`, exactly one of
`filename` and `file` must be specified by the following error message.

however, from `langchain_community 0.0.30`, `file_path` is casted into
`str` type even `file_path` is None in `get_elements_from_api()` and got
an error at `exactly_one(filename=filename, file=file)`.

here's an error message
```
---> 51     exactly_one(filename=filename, file=file)
     53     if metadata_filename and file_filename:
     54         raise ValueError(
     55             "Only one of metadata_filename and file_filename is specified. "
     56             "metadata_filename is preferred. file_filename is marked for deprecation.",
     57         )

File /opt/homebrew/lib/python3.11/site-packages/unstructured/partition/common.py:441, in exactly_one(**kwargs)
    439 else:
    440     message = f"{names[0]} must be specified."
--> 441 raise ValueError(message)

ValueError: Exactly one of filename and file must be specified.
```

So, I simply made a change that casting to str type when `file_path` is
not None.

I use `UnstructuredAPIFileLoader` like below.

```
from langchain_community.document_loaders.unstructured import UnstructuredAPIFileLoader

documents: list = UnstructuredAPIFileLoader(
    file_path=None,
    file=file,  # file-like object, io.BytesIO type
    mode='elements',
    url='http://127.0.0.1:8000/general/v0/general',
    content_type='application/pdf',
    metadata_filename='asdf.pdf',
).load_and_split()
```
4 months ago
MacanPN bce69ae43d
community[patch]: Changes to base_o365 and sharepoint document loaders (#20373)
## Description:
The PR introduces 3 changes:
1. added `recursive` property to `O365BaseLoader`. (To keep the behavior
unchanged, by default is set to `False`). When `recursive=True`,
`_load_from_folder()` also recursively loads all nested folders.
2. added `folder_id` to SharePointLoader.(similar to (this
PR)[https://github.com/langchain-ai/langchain/pull/10780] ) This
provides an alternative to `folder_path` that doesn't seem to reliably
work.
3. when none of `document_ids`, `folder_id`, `folder_path` is provided,
the loader fetches documets from root folder. Combined with
`recursive=True` this provides an easy way of loading all compatible
documents from SharePoint.

The PR contains the same logic as [this stale
PR](https://github.com/langchain-ai/langchain/pull/10780) by
@WaleedAlfaris. I'd like to ask his blessing for moving forward with
this one.

## Issue:
- As described in https://github.com/langchain-ai/langchain/issues/19938
and https://github.com/langchain-ai/langchain/pull/10780 the sharepoint
loader often does not seem to work with folder_path.
- Recursive loading of subfolders is a missing functionality

## Dependecies: None

Twitter handle:
@martintriska1 @WRhetoric

This is my first PR here, please be gentle :-)
Please review @baskaryan

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago
Sevin F. Varoglu 54d388d898
community[patch]: update OctoAI endpoint to subclass BaseOpenAI (#19757)
This PR updates OctoAIEndpoint LLM to subclass BaseOpenAI as OctoAI is
an OpenAI-compatible service. The documentation and tests have also been
updated.
4 months ago
Benito Geordie 57b226532d
community[minor]: Added integrations for ThirdAI's NeuralDB as a Retriever (#17334)
**Description:** Adds ThirdAI NeuralDB retriever integration. NeuralDB
is a CPU-friendly and fine-tunable text retrieval engine. We previously
added a vector store integration but we think that it will be easier for
our customers if they can also find us under under
langchain-community/retrievers.

---------

Co-authored-by: kartikTAI <129414343+kartikTAI@users.noreply.github.com>
Co-authored-by: Kartik Sarangmath <kartik@thirdai.com>
4 months ago
WeichenXu e9fc87aab1
community[patch]: Make ChatDatabricks model supports streaming response (#19912)
**Description:** Make ChatDatabricks model supports stream
**Issue:** N/A
**Dependencies:** MLflow nightly build version (we will release next
MLflow version soon)
**Twitter handle:** N/A

Manually test:

(Before testing, please install `pip install
git+https://github.com/mlflow/mlflow.git`)

```python
# Test Databricks Foundation LLM model
from langchain.chat_models import ChatDatabricks

chat_model = ChatDatabricks(
    endpoint="databricks-llama-2-70b-chat",
    max_tokens=500
)
from langchain_core.messages import AIMessageChunk

for chunk in chat_model.stream("What is mlflow?"):
  print(chunk.content, end="|")
```

- [x] **Add tests and docs**: 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/docs/integrations` directory.


- [x] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/

Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.

---------

Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Dhruv Chawla d6d559d50d
community[minor]: add UpTrainCallbackHandler (#19956)
- **Description:** 
This PR adds a callback handler for UpTrain. It performs evaluations in
the RAG pipeline to check the quality of retrieved documents, generated
queries and responses.

- **Dependencies:** 
    - The UpTrainCallbackHandler requires the uptrain package

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
4 months ago
Ravindu Somawansa 5acc7ba622
community[minor]: Add glue catalog loader (#20220)
Add Glue Catalog loader
4 months ago
Martín Gotelli Ferenaz b48add4353
community[patch]: Fix pgvector deprecated filter clause usage with OR and AND conditions (#20446)
**Description**: Support filter by OR and AND for deprecated PGVector
version
**Issue**: #20445 
**Dependencies**: N/A
**Twitter** handle: @martinferenaz
4 months ago
Eugene Yurtsev c50099161b
community[patch]: Use uuid4 not uuid1 (#20487)
Using UUID1 is incorrect since it's time dependent, which makes it easy
to generate the exact same uuid
4 months ago
Leonid Kuligin 676c68d318
community[patch]: deprecating remaining google_community integrations (#20471)
Deprecating remaining google community integrations
4 months ago
balloonio b66a4f48fa
community[patch]: Invoke callback prior to yielding token fix [DeepInfra] (#20427)
- [x] **PR title**: community[patch]: Invoke callback prior to yielding
token fix for [DeepInfra]


- [x] **PR message**: 
- **Description:** Invoke callback prior to yielding token in stream
method in [DeepInfra]
    - **Issue:** https://github.com/langchain-ai/langchain/issues/16913
    - **Dependencies:** None
    - **Twitter handle:** @bolun_zhang

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.
4 months ago
Juan Carlos José Camacho 450c458f8f
community[minor]: Add Datahareld tool (#19680)
**Description:** Integrate [dataherald](https://www.dataherald.com)
tool, It is a natural language-to-SQL tool.
**Dependencies:** Install dataherald sdk to use it,
```
pip install dataherald
```

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Christophe Bornet <cbornet@hotmail.com>
4 months ago
Egor Krasheninnikov c8391d4ff1
community[patch]: Fix YandexGPT embeddings (#19720)
Fix of YandexGPT embeddings. 

The current version uses a single `model_name` for queries and
documents, essentially making the `embed_documents` and `embed_query`
methods the same. Yandex has a different endpoint (`model_uri`) for
encoding documents, see
[this](https://yandex.cloud/en/docs/yandexgpt/concepts/embeddings). The
bug may impact retrievers built with `YandexGPTEmbeddings` (for instance
FAISS database as retriever) since they use both `embed_documents` and
`embed_query`.

A simple snippet to test the behaviour:
```python
from langchain_community.embeddings.yandex import YandexGPTEmbeddings
embeddings = YandexGPTEmbeddings()
q_emb = embeddings.embed_query('hello world')
doc_emb = embeddings.embed_documents(['hello world', 'hello world'])
q_emb == doc_emb[0]
```
The response is `True` with the current version and `False` with the
changes I made.


Twitter: @egor_krash

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 months ago
Guangdong Liu 4be7ca7b4c
community[patch]:sparkllm standardize init args (#20194)
Related to https://github.com/langchain-ai/langchain/issues/20085
@baskaryan
4 months ago
Yuki Oshima 0758da8940
community[patch]: Set default value for _ListSQLDatabaseToolInput tool_input (#20409)
**Description:**

`_ListSQLDatabaseToolInput` raise error if model returns `{}`.
For example, gpt-4-turbo returns `{}` with SQL Agent initialized by
`create_sql_agent`.

So, I set default value `""` for `_ListSQLDatabaseToolInput` tool_input.

This is actually a gpt-4-turbo issue, not a LangChain issue, but I
thought it would be helpful to set a default value `""`.

This problem is discussed in detail in the following Issue.

**Issue:** https://github.com/langchain-ai/langchain/issues/20405

**Dependencies:** none

Sorry, I did not add or change the test code, as tests for this
components was not exist .

However, I have tested the following code based on the [SQL Agent
Document](https://python.langchain.com/docs/use_cases/sql/agents/), to
make sure it works.

```
from langchain_community.agent_toolkits.sql.base import create_sql_agent
from langchain_community.utilities.sql_database import SQLDatabase
from langchain_openai import ChatOpenAI

db = SQLDatabase.from_uri("sqlite:///Chinook.db")
llm = ChatOpenAI(model="gpt-4-turbo", temperature=0)
agent_executor = create_sql_agent(llm, db=db, agent_type="openai-tools", verbose=True)
result = agent_executor.invoke("List the total sales per country. Which country's customers spent the most?")
print(result["output"])
```
4 months ago
ccurme 38faa74c23
community[patch]: update use of deprecated llm methods (#20393)
.predict and .predict_messages for BaseLanguageModel and BaseChatModel
4 months ago
Corey Zumar 3a068b26f3
community[patch]: Databricks - fix scope of dangerous deserialization error in Databricks LLM connector (#20368)
fix scope of dangerous deserialization error in Databricks LLM connector

---------

Signed-off-by: dbczumar <corey.zumar@databricks.com>
4 months ago
balloonio e7b1a44c5b
community[patch]: Invoke callback prior to yielding token fix for Llamafile (#20365)
- [x] **PR title**: community[patch]: Invoke callback prior to yielding
token fix for Llamafile


- [x] **PR message**: 
- **Description:** Invoke callback prior to yielding token in stream
method in community llamafile.py
    - **Issue:** https://github.com/langchain-ai/langchain/issues/16913
    - **Dependencies:** None
    - **Twitter handle:** @bolun_zhang

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.
4 months ago
balloonio 93caa568f9
community[patch]: Invoke callback prior to yielding token fix for HuggingFaceEndpoint (#20366)
- [x] **PR title**: community[patch]: Invoke callback prior to yielding
token fix for HuggingFaceEndpoint


- [x] **PR message**: 
- **Description:** Invoke callback prior to yielding token in stream
method in community HuggingFaceEndpoint
    - **Issue:** https://github.com/langchain-ai/langchain/issues/16913
    - **Dependencies:** None
    - **Twitter handle:** @bolun_zhang

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
4 months ago
Nicolas ad04585e30
community[minor]: Firecrawl.dev integration (#20364)
Added the [FireCrawl](https://firecrawl.dev) document loader. Firecrawl
crawls and convert any website into LLM-ready data. It crawls all
accessible subpages and give you clean markdown for each.

    - **Description:** Adds FireCrawl data loader
    - **Dependencies:** firecrawl-py
    - **Twitter handle:** @mendableai 

ccing contributors: (@ericciarla @nickscamara)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
4 months ago