Update the migration script message

Firecrawl integration is currently on v0 - which is supported until
version 0.0.20.

@rafaelsideguide is working on a pr for v1 but meanwhile we should fix
the docs.

Update broken langgraph link in the README.md file

Co-authored-by: Jess Ou <[email protected]>

Added changes for pip installation

takes redirects from 0.1 docs and factors them into suggested redirects
in 0.3 docs

- Fix comments in Python
- Fix repeated sentences

…26511)

…n-ai#26527)

langchain-cli 0.0.31 release

`langchain-qdrant` imports pydantic but was importing pydantic proper
before 0.3 release:
https://github.com/langchain-ai/langchain/blob/042e84170bcf05a78ed5892e4c6a66565f2624f3/libs/partners/qdrant/langchain_qdrant/sparse_embeddings.py#L5-L8

Release to work with langchain 0.3

Release to work with langchain 0.3

Release to work with langchain 0.3

Update issue and discussion templates

Update v0.3 instructions a bit

---------

Co-authored-by: Bagatur <[email protected]>

… `Cust… (langchain-ai#26312)

…omSelfQueryRetriever`

This commit corrects an issue in the `_get_docs_with_query` method of
the `CustomSelfQueryRetriever` class. The method was incorrectly using
`self.vectorstore.similarity_search_with_score(query, **search_kwargs)`
without including the `self` argument, which is required for proper
method invocation.

The `self` argument is necessary for calling instance methods and
accessing instance attributes. By including `self` in the method call,
we ensure that the method is correctly executed in the context of the
current instance, allowing it to function as intended.

No other changes were made to the method's logic or functionality.

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, ccurme, vbarda, hwchase17.

Co-authored-by: Erick Friis <[email protected]>

…in-ai#26519)

…n-ai#26557)

Thank you for contributing to LangChain!

- [x] **PR title**: "package: description"
docs:integrations:vectorstores:chroma:fix_typo


- [x] **PR message**: ***Delete this entire checklist*** and replace
with


- **Description:** fix_typo in docs:integrations:vectorstores:chroma
https://python.langchain.com/docs/integrations/vectorstores/chroma/
    - **Issue:** langchain-ai#26561

- [ ] **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, ccurme, vbarda, hwchase17.

… field extraction (langchain-ai#23376)

### Description:
This pull request significantly enhances the MongodbLoader class in the
LangChain community package by adding robust metadata customization and
improved field extraction capabilities. The updated class now allows
users to specify additional metadata fields through the metadata_names
parameter, enabling the extraction of both top-level and deeply nested
document attributes as metadata. This flexibility is crucial for users
who need to include detailed contextual information without altering the
database schema.

Moreover, the include_db_collection_in_metadata flag offers optional
inclusion of database and collection names in the metadata, allowing for
even greater customization depending on the user's needs.

The loader's field extraction logic has been refined to handle missing
or nested fields more gracefully. It now employs a safe access mechanism
that avoids the KeyError previously encountered when a specified nested
field was absent in a document. This update ensures that the loader can
handle diverse and complex data structures without failure, making it
more resilient and user-friendly.

### Issue:
This pull request addresses a critical issue where the MongodbLoader
class in the LangChain community package could throw a KeyError when
attempting to access nested fields that may not exist in some documents.
The previous implementation did not handle the absence of specified
nested fields gracefully, leading to runtime errors and interruptions in
data processing workflows.

This enhancement ensures robust error handling by safely accessing
nested document fields, using default values for missing data, thus
preventing KeyError and ensuring smoother operation across various data
structures in MongoDB. This improvement is crucial for users working
with diverse and complex data sets, ensuring the loader can adapt to
documents with varying structures without failing.

### Dependencies: 
Requires motor for asynchronous MongoDB interaction.

### Twitter handle: 
N/A

### Add tests and docs
Tests: Unit tests have been added to verify that the metadata inclusion
toggle works as expected and that the field extraction correctly handles
nested fields.
Docs: An example notebook demonstrating the use of the enhanced
MongodbLoader is included in the docs/docs/integrations directory. This
notebook includes setup instructions, example usage, and outputs.
(Here is the notebook link : [colab
link](https://colab.research.google.com/drive/1tp7nyUnzZa3dxEFF4Kc3KS7ACuNF6jzH?usp=sharing))
Lint and test
Before submitting, I ran make format, make lint, and make test as per
the contribution guidelines. All tests pass, and the code style adheres
to the LangChain standards.

```python
import unittest
from unittest.mock import patch, MagicMock
import asyncio
from langchain_community.document_loaders.mongodb import MongodbLoader

class TestMongodbLoader(unittest.TestCase):
    def setUp(self):
        """Setup the MongodbLoader test environment by mocking the motor client 
        and database collection interactions."""
        # Mocking the AsyncIOMotorClient
        self.mock_client = MagicMock()
        self.mock_db = MagicMock()
        self.mock_collection = MagicMock()

        self.mock_client.get_database.return_value = self.mock_db
        self.mock_db.get_collection.return_value = self.mock_collection

        # Initialize the MongodbLoader with test data
        self.loader = MongodbLoader(
            connection_string="mongodb://localhost:27017",
            db_name="testdb",
            collection_name="testcol"
        )

    @patch('langchain_community.document_loaders.mongodb.AsyncIOMotorClient', return_value=MagicMock())
    def test_constructor(self, mock_motor_client):
        """Test if the constructor properly initializes with the correct database and collection names."""
        loader = MongodbLoader(
            connection_string="mongodb://localhost:27017",
            db_name="testdb",
            collection_name="testcol"
        )
        self.assertEqual(loader.db_name, "testdb")
        self.assertEqual(loader.collection_name, "testcol")

    def test_aload(self):
        """Test the aload method to ensure it correctly queries and processes documents."""
        # Setup mock data and responses for the database operations
        self.mock_collection.count_documents.return_value = asyncio.Future()
        self.mock_collection.count_documents.return_value.set_result(1)
        self.mock_collection.find.return_value = [
            {"_id": "1", "content": "Test document content"}
        ]

        # Run the aload method and check responses
        loop = asyncio.get_event_loop()
        results = loop.run_until_complete(self.loader.aload())
        self.assertEqual(len(results), 1)
        self.assertEqual(results[0].page_content, "Test document content")

    def test_construct_projection(self):
        """Verify that the projection dictionary is constructed correctly based on field names."""
        self.loader.field_names = ['content', 'author']
        self.loader.metadata_names = ['timestamp']
        expected_projection = {'content': 1, 'author': 1, 'timestamp': 1}
        projection = self.loader._construct_projection()
        self.assertEqual(projection, expected_projection)

if __name__ == '__main__':
    unittest.main()
```


### Additional Example for Documentation
Sample Data:

```json
[
    {
        "_id": "1",
        "title": "Artificial Intelligence in Medicine",
        "content": "AI is transforming the medical industry by providing personalized medicine solutions.",
        "author": {
            "name": "John Doe",
            "email": "[email protected]"
        },
        "tags": ["AI", "Healthcare", "Innovation"]
    },
    {
        "_id": "2",
        "title": "Data Science in Sports",
        "content": "Data science provides insights into player performance and strategic planning in sports.",
        "author": {
            "name": "Jane Smith",
            "email": "[email protected]"
        },
        "tags": ["Data Science", "Sports", "Analytics"]
    }
]
```
Example Code:

```python
loader = MongodbLoader(
    connection_string="mongodb://localhost:27017",
    db_name="example_db",
    collection_name="articles",
    filter_criteria={"tags": "AI"},
    field_names=["title", "content"],
    metadata_names=["author.name", "author.email"],
    include_db_collection_in_metadata=True
)

documents = loader.load()

for doc in documents:
    print("Page Content:", doc.page_content)
    print("Metadata:", doc.metadata)
```
Expected Output:

```
Page Content: Artificial Intelligence in Medicine AI is transforming the medical industry by providing personalized medicine solutions.
Metadata: {'author_name': 'John Doe', 'author_email': '[email protected]', 'database': 'example_db', 'collection': 'articles'}
```

Thank you.

---

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, ccurme, vbarda, hwchase17.

---------

Co-authored-by: ccurme <[email protected]>

…in LangChainTracer (langchain-ai#26576)

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, ccurme, vbarda, hwchase17.

---------

Co-authored-by: Erick Friis <[email protected]>

Resolves langchain-ai#26564

langchain-ai#26584)

…el api ref

…6316)

- modify document links for create a tencent vectordb database instance.

Co-authored-by: wlleiiwang <[email protected]>
Co-authored-by: Erick Friis <[email protected]>

…i#26574)

* Added rules `UPD006` now that Pydantic is v2+

---------

Co-authored-by: Eugene Yurtsev <[email protected]>

…#26314)

Co-authored-by: Erick Friis <[email protected]>

…chain-ai#26587)

Co-authored-by: ccurme <[email protected]>

We recently renamed `MLflow Deployments Server` to `MLflow AI Gateway`
in mlflow. This PR updates the relevant notebooks to use `MLflow AI
gateway`

---

Thank you for contributing to LangChain!

- [x] **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"


- [x] **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!


- [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, ccurme, vbarda, hwchase17.

---------

Signed-off-by: harupy <[email protected]>
Co-authored-by: Erick Friis <[email protected]>

…n-ai#26373)

- add decorator for static methods

Co-authored-by: Erick Friis <[email protected]>

updated OpenAI cost definitions according to the following:
https://openai.com/api/pricing/

Co-authored-by: Erick Friis <[email protected]>

…angchain-ai#26423)

- Add missing args

Co-authored-by: Erick Friis <[email protected]>

…n-ai#26487)

Thank you for contributing to LangChain!

- [x] **PR title**: Fix typo in conda environment code block in
rag.ipynb
  - In docs/tutorials/rag.ipynb

Co-authored-by: Erick Friis <[email protected]>

…in-ai#26522)

fix langchain-ai#26370

- langchain-ai#26370 

`GoogleSpeechToTextLoader` is a deprecated method in
`langchain_community.document_loaders.google_speech_to_text`.

The new recommended usage is to use `SpeechToTextLoader` from
`langchain_google_community`.

When importing from `langchain_google_community`, use the name
`SpeechToTextLoader` instead of the old `GoogleSpeechToTextLoader`.


![image](https://github.com/user-attachments/assets/3a8bd309-9858-4938-b7db-872f51b9542e)

Co-authored-by: Erick Friis <[email protected]>

- **Description:** fixed a typo on amazon textract page

Co-authored-by: Erick Friis <[email protected]>

…chain-ai#26328)

- **Description:** the example to perform hybrid search with the
Elasticsearch retriever is out of date
- **Issue:** N/A
- **Dependencies:** N/A

Co-authored-by: Erick Friis <[email protected]>

- **Description:** typo in clickhouse vectorstore doc
- **Issue:** langchain-ai#26597
- **Dependencies:** none
- **Twitter handle:** sanjay920

Co-authored-by: Erick Friis <[email protected]>

Fixed typo `Unstrucutred`

… by ruff (langchain-ai#26608)

Ruff doesn't know about the python version in
`[tool.poetry.dependencies]`. It can get it from
`project.requires-python`.

Notes:
* poetry seems to have issues getting the python constraints from
`requires-python` and using `python` in per dependency constraints. So I
had to duplicate the info. I will open an issue on poetry.
* `inspect.isclass()` doesn't work correctly with `GenericAlias`
(`list[...]`, `dict[..., ...]`) on Python <3.11 so I added some `not
isinstance(type, GenericAlias)` checks:

Python 3.11
```pycon
>>> import inspect
>>> inspect.isclass(list)
True
>>> inspect.isclass(list[str])
False
```

Python 3.9
```pycon
>>> import inspect
>>> inspect.isclass(list)
True
>>> inspect.isclass(list[str])
True
```

Co-authored-by: Eugene Yurtsev <[email protected]>

makes core incompatible with uv installs

tested on one of the replacement cases and seems to work! 
![ScreenShot 2024-09-18 at 02 02
43PM](https://github.com/user-attachments/assets/7170975a-2542-43ed-a203-d4126c6a2c81)

…er as agent tool (langchain-ai#26181)

Thank you for contributing to LangChain!

- [x] **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"


Added search options for BoxRetriever and added documentation to
demonstrate how to use BoxRetriever as an agent tool - @BoxPlatform


- [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, ccurme, vbarda, hwchase17.

Co-authored-by: Erick Friis <[email protected]>

Fixes langchain-ai#26212: replaced the raw string with backslashes. Alternative:
raw-stringif the full docstring.

---------

Co-authored-by: Erick Friis <[email protected]>

…ngchain-ai#25970)

Co-authored-by: Erick Friis <[email protected]>

Public classes/functions are not renamed and rule is ignored for them.

Co-authored-by: Erick Friis <[email protected]>

Page content sometimes is empty when PyMuPDF can not find text on pages.
For example, this can happen when the text of the PDF is not copyable
"by hand". Then an OCR solution is need - which is not integrated here.

This warning should accurately warn the user that some pages are lost
during this process.

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, ccurme, vbarda, hwchase17.

---------

Co-authored-by: Erick Friis <[email protected]>

…ore (langchain-ai#25486)

# Description
[Vector store base
class](https://github.com/langchain-ai/langchain/blob/4cdaca67dc51dba887289f56c6fead3c1a52f97d/libs/core/langchain_core/vectorstores/base.py#L65)
currently expects `ids` to be passed in and that is what it passes along
to the AzureSearch vector store when attempting to `add_texts()`.
However AzureSearch expects `keys` to be passed in. When they are not
present, AzureSearch `add_embeddings()` makes up new uuids. This is a
problem when trying to run indexing. [Indexing code
expects](https://github.com/langchain-ai/langchain/blob/b297af5482ae7c6d26779513d637ec657a1cd552/libs/core/langchain_core/indexing/api.py#L371)
the documents to be uploaded using provided ids. Currently AzureSearch
ignores `ids` passed from `indexing` and makes up new ones. Later when
`indexer` attempts to delete removed file, it uses the `id` it had
stored when uploading the document, however it was uploaded under
different `id`.

**Twitter handle: @martintriska1**

removing Sambaverse llm model and references given is not available
after Sep/10/2024

<img width="1781" alt="image"
src="https://github.com/user-attachments/assets/4dcdb5f7-5264-4a03-b8e5-95c88304e059">

fix error in samba studio embeddings  result unpacking

…eLoader (langchain-ai#26582)

- **Description:** Added PebbloTextLoader for loading text in
PebbloSafeLoader.
- Since PebbloSafeLoader wraps document loaders, this new loader enables
direct loading of text into Documents using PebbloSafeLoader.
- **Issue:** NA
- **Dependencies:** NA
- [x] **Tests**: Added/Updated tests

MERGE ME PLEASE

- Add to tests on parsed content;
- Add tests for async + lazy loading;
- Add a test for `strategy="hi_res"`.

…hain-ai#26649)

Thank you for contributing to LangChain!

Fix error like
<img width="1167" alt="image"
src="https://github.com/user-attachments/assets/2e219b26-ec7e-48ef-8111-e0ff2f5ac4c0">

After the fix:
<img width="584" alt="image"
src="https://github.com/user-attachments/assets/48f36fe7-628c-48b6-81b2-7fe741e4ca85">


- [ ] **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, ccurme, vbarda, hwchase17.

---------

Signed-off-by: serena-ruan <[email protected]>
Co-authored-by: Erick Friis <[email protected]>

…6678)

remove beta namespace from core, add to community

`unstructured.partition.auto.partition` supports a `url` kwarg, but
`url` in `UnstructuredLoader.__init__` is reserved for the server URL.
Here we add a `web_url` kwarg that is passed to the partition kwargs:
```python
self.unstructured_kwargs["url"] = web_url
```

Restore qa template that was working

…-ai#26675)

Complementary PR to master for langchain-ai#26643.

Co-authored-by: Bagatur <[email protected]>

There is a small bug in "TypedDict class" sample source.

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, ccurme, vbarda, hwchase17.

- [ ] **PR title**: "community:fix ChatZhipuAI tool call bug"

- [ ] **Description:** ZhipuAI api response as follows:
{'id': '20240920132549e379a9152a6a4d7c', 'created': 1726809949, 'model':
'glm-4-flash', 'choices': [{'index': 0, 'finish_reason': 'tool_calls',
'delta': {'role': 'assistant', 'tool_calls': [{'id':
'call_20240920132549e379a9152a6a4d7c', 'index': 0, 'type': 'function',
'function': {'name': 'get_datetime_offline', 'arguments': '{}'}}]}}]}
so, tool_calls = dct.get("tool_call", None) in
_convert_delta_to_message_chunk should be "tool_calls"

Docs preview:
https://langchain-git-cc-pdfdocs-langchain.vercel.app/docs/how_to/document_loader_pdf/

…chain-ai#26668)

This PR adds a migration guide for any code that relies on old memory
abstractions.

…extSplitter` (langchain-ai#26703)

langchain-ai#26028 

Export `ExperimentalMarkdownSyntaxTextSplitter` in __init__

Co-authored-by: Erick Friis <[email protected]>

Description

- support epsilla cloud in langchain

---------

Co-authored-by: Leonid Ganeline <[email protected]>
Co-authored-by: Chester Curme <[email protected]>

Also, re-unify run trees. Use a single shared client.