Commit Graph

4461 Commits (master)

Author SHA1 Message Date
ccurme 35439cf3bd
anthropic: set default model (#21986)
Various docs reference `ChatAnthropic()`, but this currently raises
ValidationError.
2 weeks ago
ccurme 0923136851
langchain: default to Runnable in MultiQueryRetriever (#21770)
- `llm_chain` becomes `Union[LLMChain, Runnable]`
- `.from_llm` creates a runnable

tested by verifying that docs/how_to/MultiQueryRetriever.ipynb runs
unchanged with sync/async invoke (and that it runs if we specifically
instantiate with LLMChain).
2 weeks ago
Yulong Wang 8e1aeb8ad5
community[patch]: Fix typo in arxiv tool's doc (#21970)
Fix typo in arxiv tool's doc
2 weeks ago
Robert Caulk 54adcd9e82
community[minor]: add AskNews retriever and AskNews tool (#21581)
We add a tool and retriever for the [AskNews](https://asknews.app)
platform with example notebooks.

The retriever can be invoked with:

```py
from langchain_community.retrievers import AskNewsRetriever

retriever = AskNewsRetriever(k=3)

retriever.invoke("impact of fed policy on the tech sector")
```

To retrieve 3 documents in then news related to fed policy impacts on
the tech sector. The included notebook also includes deeper details
about controlling filters such as category and time, as well as
including the retriever in a chain.

The tool is quite interesting, as it allows the agent to decide how to
obtain the news by forming a query and deciding how far back in time to
look for the news:

```py
from langchain_community.tools.asknews import AskNewsSearch
from langchain import hub
from langchain.agents import AgentExecutor, create_openai_functions_agent
from langchain_openai import ChatOpenAI

tool = AskNewsSearch()

instructions = """You are an assistant."""
base_prompt = hub.pull("langchain-ai/openai-functions-template")
prompt = base_prompt.partial(instructions=instructions)
llm = ChatOpenAI(temperature=0)
asknews_tool = AskNewsSearch()
tools = [asknews_tool]
agent = create_openai_functions_agent(llm, tools, prompt)
agent_executor = AgentExecutor(
    agent=agent,
    tools=tools,
    verbose=True,
)

agent_executor.invoke({"input": "How is the tech sector being affected by fed policy?"})
```

---------

Co-authored-by: Emre <e@emre.pm>
2 weeks ago
Jesse S fc79b372cb
community[minor]: add aerospike vectorstore integration (#21735)
Please let me know if you see any possible areas of improvement. I would
very much appreciate your constructive criticism if time allows.

**Description:**
- Added a aerospike vector store integration that utilizes
[Aerospike-Vector-Search](https://aerospike.com/products/vector-database-search-llm/)
add-on.
- Added both unit tests and integration tests
- Added a docker compose file for spinning up a test environment
- Added a notebook

 **Dependencies:** any dependencies required for this change
- aerospike-vector-search

 **Twitter handle:** 
- No twitter, you can use my GitHub handle or LinkedIn if you'd like

Thanks!

---------

Co-authored-by: Jesse Schumacher <jschumacher@aerospike.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2 weeks ago
Prince Canuma 3587c60396
community[patch]: Fix MLX LLM Stream (#20575)
Closes #20561

This PR fixes MLX LLM stream `AttributeError`. 

Recently, `mlx-lm` changed the token decoding logic, which affected the
LC+MLX integration.

Additionally, I made minor fixes such as: docs example broken link and
enforcing pipeline arguments (max_tokens, temp and etc) for invoke.
   
- **Issue:** #20561
    
- **Twitter handle:** @Prince_Canuma
2 weeks ago
Rahul Triptahi 96bd0b0844
community[patch]: Remove redundant pebblo cloud api call (#21589)
Description: removed redundant pebblo cloud api call. Changed classified
`doc` key to `ai_apps_data`.
Documentation: N/A
Unit tests: N/A
2 weeks ago
Param Singh d07885f8b7
community[patch]: standardized sparkllm init args (#21633)
Related to #20085 
@baskaryan 

Thank you for contributing to LangChain!

community:sparkllm[patch]: standardized init args

updated `spark_api_key` so that aliased to `api_key`. Added integration
test for `sparkllm` to test that it continues to set the same underlying
attribute.

updated temperature with Pydantic Field, added to the integration test.

Ran `make format`,`make test`, `make lint`, `make spell_check`
2 weeks ago
Dhruv Chawla d4359d3de6
community[patch]: Update UpTrain Callback Handler to support the new UpTrain evaluation schema (#21656)
UpTrain has a new dashboard now that makes it easier to view projects
and evaluations. Using this requires specifying both project_name and
evaluation_name when performing evaluations. I have updated the code to
support it.
2 weeks ago
Alex Riina c0e3c3a350
openai[patch], community[patch]: add pricing and max context window for GPT-4o (#21673)
# Add pricing and max context window for GPT-4o
- community: add cost per 1k tokens and max context window
- partners: add max context window

**Description:** adds static information about GPT-4o based on
https://openai.com/api/pricing/ and
https://platform.openai.com/docs/models/gpt-4o so that GPT-4o reporting
is accurate.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2 weeks ago
缨缨 bd39b2ccdf
community: enable SupabaseVectorStore to support extended table fields (#21762)
Thank you for contributing to LangChain!

- [x] **PR title**: "community: enable SupabaseVectorStore to support
extended table fields"

- [x] **PR message**: 
- Added extension fields to the function _add_vectors so that users can
add other custom fields when insert a record into the database. eg:
    

![image](https://github.com/langchain-ai/langchain/assets/10885578/e1d5ca20-936e-4cab-ba69-8fdd23b8ce8f)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2 weeks ago
Leonid Ganeline e98a4fd19a
ai21[patch]: configuration fix (#21790)
added "repository" and "Source Code" parameters (these parameters are
missed only in this partner package configuration).
2 weeks ago
Trayan Azarov f54cbf8ff5
chroma[patch]: Chroma - remove reference to collection upon delete_collection (#21817)
**Description**:

- Reference to `Collection` object is set to `None` when deleting a
collection `delete_collection()`
- Added utility method `reset_collection()` to allow recreating the
collection
- Moved collection creation out of `__init__` into
`__ensure_collection()` to be reused by object init and
`reset_collection()`
- `_collection` is now a property to avoid breaking changes

**Issues**: 

- chroma-core/chroma#2213

**Twitter**: @t_azarov
3 weeks ago
Jens b0b302ec6b
community[patch]: fixed aleph alpha default emedding request (#21826)
- **Description:** In the aleph alpha client the paramater `normalize`
is *not* optional. Setting this to `None` gives an error.
- **Dependencies:** None

Co-authored-by: Jens Lücke <jens.luecke@tngtech.com>
Co-authored-by: Jens <jens.luecke@hu-berlin.de>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
3 weeks ago
Jorge Piedrahita Ortiz e6207ad4f3
community[patch]: Sambanova integration api update (#21848)
- **Description:**:
        SambaStudio generic endpoint compatibility added
        Improved error description, and handling
        streaming examples added
3 weeks ago
Michael Reed 7a5e1bcf99
core[patch]: Fix NPE in function_calling._get_python_function_required_args (#21863)
Example error message:
line 206, in _get_python_function_required_args
    if is_function_type and required[0] == "self":
                            ~~~~~~~~^^^
IndexError: list index out of range

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, hwchase17.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
3 weeks ago
Liuww 332ffed393
community[patch]: Adopting the lighter-weight xinference_client (#21900)
While integrating the xinference_embedding, we observed that the
downloaded dependency package is quite substantial in size. With a focus
on resource optimization and efficiency, if the project requirements are
limited to its vector processing capabilities, we recommend migrating to
the xinference_client package. This package is more streamlined,
significantly reducing the storage space requirements of the project and
maintaining a feature focus, making it particularly suitable for
scenarios that demand lightweight integration. Such an approach not only
boosts deployment efficiency but also enhances the application's
maintainability, rendering it an optimal choice for our current context.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
3 weeks ago
Tomaz Bratanic a43515ca65
experimental[patch]: Pass enum only to openai in llm graph transformer (#21860)
Some models like Groq return bad request if you pass in `enum` parameter
in tool definition
3 weeks ago
Jiří Spilka 6499897c87
community[patch]: update apify integration to attribute API activity to langchain (#21909)
**Description:** Add `Origin/langchain` to Apify's client's user-agent
to attribute API activity to LangChain (at Apify, we aim to monitor our
integrations to evaluate whether we should invest more in the LangChain
integration regarding functionality and content)

**Issue:** None
**Dependencies:** None
**Twitter handle:** None
3 weeks ago
Jared Van Bortel 25d1c1c9bb
nomic: implement local embeddings with the inference_mode parameter (#21934)
## Description

This PR implements local and dynamic mode in the Nomic Embed integration
using the inference_mode and device parameters. They work as documented
[here](https://docs.nomic.ai/reference/python-api/embeddings#local-inference).

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

---------

Co-authored-by: Erick Friis <erickfriis@gmail.com>
3 weeks ago
ccurme 0e72ed39a0
infra: fix CI on text-splitters (#21935) 3 weeks ago
ccurme 4470d3b4a0
partners: bump core in packages implementing ls_params (#21868)
These packages all import `LangSmithParams` which was released in
langchain-core==0.2.0.

N.B. we will need to release `openai` and then bump `langchain-openai`
in `together` and `upstage`.
3 weeks ago
ccurme 9c76739425
mistral: implement ls_params (#21867) 3 weeks ago
Tomaz Bratanic d85e46321a
community[patch]: Better error message for neo4j vector when text is null (#21861) 3 weeks ago
Stefano Lottini f2e75f9500
cli[minor]: fix import path for two Astra DB classes in the migration json data (#21926)
This PR fixes two mistakes in the import paths from community for the
json data aiding the cli migration to 0.2.

It is intended as a quick follow-up to
https://github.com/langchain-ai/langchain/pull/21913 .

@nicoloboschi FYI
3 weeks ago
WilliamEspegren 30bca57aae
doc list not empty (#21208)
Make sure the doc list is not empty, and set Metadata: true in param, to
enable the user to disable metadata for slightly faster crawls.
3 weeks ago
David Charles 8da35fba7f
langchain[minor]: add libs/partners to dev.Dockerfile (#21902)
Resolves #21886 by adding "COPY libs/partners ../partners/" to
libs/dev.Dockerfile

Twitter: @kabakongo
3 weeks ago
TJ 8cd6ed3e1e
community[patch]: Update documentation string in databricks chat model (#21915)
Update typos in documentation string in databricks chat model
3 weeks ago
Nicolò Boschi dd00aac7ad
cli[minor]: add astradb in the cli migration to 0.2 (#21913)
astradb has a new partner package but the automatic migration cli tool
doesn't take care of migration astradb integrations
3 weeks ago
Coozywana b6c8b6f944
Fix base.py typo (#21862)
ChatOpenaAI --> ChatOpenAI

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.
3 weeks ago
fzowl d3624eaba1
partners: Remove unnecessary print from voyageai embeddings (#21865)
Thank you for contributing to LangChain!

Remove unnecessary print from voyageai embeddings

- [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/

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.
3 weeks ago
Bagatur 8b3c5f93f5
docs: lcel how to and cheatsheet (#21851) 3 weeks ago
Nuno Campos b1e7b40b6a
core: Tap output of sync iterators for astream_events (#21842)
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.
3 weeks ago
Eugene Yurtsev 67b6f6c82a
core[patch]: Check if event loop is closed in memory stream (#21841)
Check if event stream is closed in memory loop.

Using try/except here to avoid race condition, but this may incur a
small overhead in versions prios to 3.11
3 weeks ago
Erick Friis 2d3f4e1a16
experimental: release 0.0.59 (#21835) 3 weeks ago
Erick Friis 169f525cfb
community: release 0.2.0 (#21834) 3 weeks ago
Erick Friis e5046cbd72
langchain: release 0.2.0, fix min deps (#21833) 3 weeks ago
Erick Friis 1b555021f7
text-splitters: release 0.2.0 (#21832) 3 weeks ago
Erick Friis 0ad8de5eb7
langchain: release 0.2.0 (#21831) 3 weeks ago
Erick Friis 23310626b3
core: release 0.2.0 (#21829) 3 weeks ago
Eugene Yurtsev e3f30b4cde
docs: clean up link to bing search (#21825)
Documentation should be inlined, not linking to medium article.
3 weeks ago
ccurme 181dfef118
core, standard tests, partner packages: add test for model params (#21677)
1. Adds `.get_ls_params` to BaseChatModel which returns
```python
class LangSmithParams(TypedDict, total=False):
    ls_provider: str
    ls_model_name: str
    ls_model_type: Literal["chat"]
    ls_temperature: Optional[float]
    ls_max_tokens: Optional[int]
    ls_stop: Optional[List[str]]
```
by default it will only return
```python
{ls_model_type="chat", ls_stop=stop}
```

2. Add these params to inheritable metadata in
`CallbackManager.configure`

3. Implement `.get_ls_params` and populate all params for Anthropic +
all subclasses of BaseChatOpenAI

Sample trace:
https://smith.langchain.com/public/d2962673-4c83-47c7-b51e-61d07aaffb1b/r

**OpenAI**:
<img width="984" alt="Screenshot 2024-05-17 at 10 03 35 AM"
src="https://github.com/langchain-ai/langchain/assets/26529506/2ef41f74-a9df-4e0e-905d-da74fa82a910">

**Anthropic**:
<img width="978" alt="Screenshot 2024-05-17 at 10 06 07 AM"
src="https://github.com/langchain-ai/langchain/assets/26529506/39701c9f-7da5-4f1a-ab14-84e9169d63e7">

**Mistral** (and all others for which params are not yet populated):
<img width="977" alt="Screenshot 2024-05-17 at 10 08 43 AM"
src="https://github.com/langchain-ai/langchain/assets/26529506/37d7d894-fec2-4300-986f-49a5f0191b03">
3 weeks ago
Sen Lin eb7f07ae36
community[patch]: fix typo in ValueError message in load_local function (#21818)
**Description:**
Corrected an error in the `allow_dangerous_deserialization` message
within the `load_local` functions
3 weeks ago
Jorge Piedrahita Ortiz 700b1c7212
community: sambaverse api update (#21816)
- **Description:** fix sambaverse integration to make it compatible with
sambaverse API update / minor changes in docs
3 weeks ago
maang-h 9f8d18c028
community[patch]: Fix unintended newline in print statement in exception for BaichuanTextEmbeddings (#21820)
- **Code:** langchain_community/embeddings/baichuan.py:82
- **Description:** When I make an error using 'baichuan embeddings', the
printed error message is wrapped (there is actually no need to wrap)
```python
# example
from langchain_community.embeddings import BaichuanTextEmbeddings

# error key
BAICHUAN_API_KEY = "sk-xxxxxxxxxxxxx"
embeddings = BaichuanTextEmbeddings(baichuan_api_key=BAICHUAN_API_KEY)

text_1 = "今天天气不错"
query_result = embeddings.embed_query(text_1)
```



![unintended
newline](https://github.com/langchain-ai/langchain/assets/55082429/e1178ce8-62bb-405d-a4af-e3b28eabc158)
3 weeks ago
Bakar Tavadze 3b5ac44e03
langchain-robocorp[minor]: Enable passing additional headers to the action server. (#21809)
Actions can optionally receive secrets via request headers. This PR
enables this functionality.
3 weeks ago
Asaf Joseph Gardin f3289b898c
partners: Revert AI21 Labs docs scan feature (#21699)
Description: Reverted commit #21614

---------

Co-authored-by: Asaf Gardin <asafg@ai21.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
3 weeks ago
Eugene Yurtsev 8607735b80
langchain[patch],community[patch]: Move unit tests that depend on community to community (#21685) 3 weeks ago
Marco Lamina d0fae6cd54
community: Add token cost for GPT-4o model (#21771)
Adding [token cost for the new GPT-4o
model](https://openai.com/api/pricing/):
* Input cost US$5.00 / 1M tokens
* Output cost US$15.00 / 1M tokens
3 weeks ago
Massimiliano Pronesti 0c0db7c5db
feat(community): support semantic hybrid score threshold in Azure AI Search (#21527)
Support semantic hybrid search with a score threshold -- similar to what
we do for similarity search and for hybrid search (#20907).
3 weeks ago
Bagatur 6416d16d39
anthropic[patch]: Release 0.1.13, tool_choice support (#21773) 3 weeks ago
Stefano Lottini 040597e832
community: init signature revision for Cassandra LLM cache classes + small maintenance (#17765)
This PR improves on the `CassandraCache` and `CassandraSemanticCache`
classes, mainly in the constructor signature, and also introduces
several minor improvements around these classes.

### Init signature

A (sigh) breaking change is tentatively introduced to the constructor.
To me, the advantages outweigh the possible discomfort: the new syntax
places the DB-connection objects `session` and `keyspace` later in the
param list, so that they can be given a default value. This is what
enables the pattern of _not_ specifying them, provided one has
previously initialized the Cassandra connection through the versatile
utility method `cassio.init(...)`.

In this way, a much less unwieldy instantiation can be done, such as
`CassandraCache()` and `CassandraSemanticCache(embedding=xyz)`,
everything else falling back to defaults.

A downside is that, compared to the earlier signature, this might turn
out to be breaking for those doing positional instantiation. As a way to
mitigate this problem, this PR typechecks its first argument trying to
detect the legacy usage.
(And to make this point less tricky in the future, most arguments are
left to be keyword-only).

If this is considered too harsh, I'd like guidance on how to further
smoothen this transition. **Our plan is to make the pattern of optional
session/keyspace a standard across all Cassandra classes**, so that a
repeatable strategy would be ideal. A possibility would be to keep
positional arguments for legacy reasons but issue a deprecation warning
if any of them is actually used, to later remove them with 0.2 - please
advise on this point.

### Other changes

- class docstrings: enriched, completely moved to class level, added
note on `cassio.init(...)` pattern, added tiny sample usage code.
- semantic cache: revised terminology to never mention "distance" (it is
in fact a similarity!). Kept the legacy constructor param with a
deprecation warning if used.
- `llm_caching` notebook: uniform flow with the Cassandra and Astra DB
separate cases; better and Cassandra-first description; all imports made
explicit and from community where appropriate.
- cache integration tests moved to community (incl. the imported tools),
env var bugfix for `CASSANDRA_CONTACT_POINTS`.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
3 weeks ago
Kyle Cassidy eca8c4bcc6
Standardized openai init params (#21739)
## Patch Summary
community:openai[patch]: standardize init args

## Details
I made changes to the OpenAI Chat API wrapper test in the Langchain
open-source repository

- **File**: `libs/community/tests/unit_tests/chat_models/test_openai.py`
- **Changes**:
  - Updated `max_retries` with Pydantic Field
  - Updated the corresponding unit test
- **Related Issues**: #20085
  - Updated max_retries with Pydantic Field, updated the unit test.

---------

Co-authored-by: JuHyung Son <sonju0427@gmail.com>
3 weeks ago
Ethan Yang e44b448ec3
community: update openvino doc with streaming support (#21519)
Co-authored-by: Chester Curme <chester.curme@gmail.com>
3 weeks ago
ccurme 19e6bf814b
community: fix CI (#21766) 3 weeks ago
Mish Ushakov d77e60a7f4
community: updated Browserbase loader (#21757)
Thank you for contributing to LangChain!

- [x] **PR title**: "community: updated Browserbase loader"

- [x] **PR message**:
    Updates the Browserbase loader with more options and improved docs.

- [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/
3 weeks ago
Eugene Yurtsev 6ed0aa3239
core[major]: only use function description (#21622)
Do not prefix function signature

---

* Reason for this is that information is already present with tool
calling models.
* This will save on tokens for those models, and makes it more obvious
what the description is!
* The @tool can get more parameters to allow a user to re-introduce the
the signature if we want
3 weeks ago
William FH 8498b41cda
Finish agent migration doc (#21731) 3 weeks ago
Cheese 0ead09f84d
community: Implement `bind_tools` for ChatTongyi (#20725)
## Description

Implement `bind_tools` in ChatTongyi. Usage example:

```py
from langchain_core.tools import tool
from langchain_community.chat_models.tongyi import ChatTongyi

@tool
def multiply(first_int: int, second_int: int) -> int:
    """Multiply two integers together."""
    return first_int * second_int

llm = ChatTongyi(model="qwen-turbo")

llm_with_tools = llm.bind_tools([multiply])

msg = llm_with_tools.invoke("What's 5 times forty two")

print(msg)
```

Streaming is also supported.

## Dependencies

No Dependency is required for this change.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
3 weeks ago
Bagatur 867adbf27b
docs: add aca-ds (#21746) 3 weeks ago
Erick Friis 06110e20b9
pinecone: bump min core version (#21742) 3 weeks ago
Erick Friis bd3e7d50f3
fireworks: bump min core version (#21741) 3 weeks ago
Erick Friis f5c31078d7
airbyte[patch]: airbyte-cdk compatible pydantic versions (#21738) 3 weeks ago
Erick Friis 3d33b89fa4
ibm[patch]: release 0.1.7 (#21737) 3 weeks ago
Erick Friis e41d801369
openai[patch]: fix embedding float precision issue (#21736)
also clean up + comment some of the embedding batching code
3 weeks ago
JuHyung Son 38c297a025
upstage: Support batch input in embedding request. (#21730)
**Description:** upstage embedding now supports batch input.
3 weeks ago
Harrison Chase 15be439719
Harrison/move flashrank rerank (#21448)
third party integration, should be in community
3 weeks ago
Erick Friis aca98fd150
multiple: releases with relaxed core dep (#21724) 3 weeks ago
Bagatur af284518bc
openai[patch]: Release 0.1.7, bump tiktoken 0.7.0 (#21723) 3 weeks ago
William FH ca768c8353
[Core] Check is async callable (#21714)
To permit proper coercion of objects like the following:


```python
class MyAsyncCallable:
    async def __call__(self, foo):
        return await ...

class MyAsyncGenerator:
    async def __call__(self, foo):
        await ...
        yield 
```
3 weeks ago
Eugene Yurtsev 5c2cfabec6
core[minor]: Add v2 implementation of astream events (#21638)
This PR introduces a v2 implementation of astream events that removes
intermediate abstractions and fixes some issues with v1 implementation.

The v2 implementation significantly reduces relevant code that's
associated with the astream events implementation together with
overhead.

After this PR, the astream events implementation:

- Uses an async callback handler
- No longer relies on BaseTracer
- No longer relies on json patch

As a result of this re-write, a number of issues were discovered with
the existing implementation.

## Changes in V2 vs. V1

### on_chat_model_end `output`

The outputs associated with `on_chat_model_end` changed depending on
whether it was within a chain or not.

As a root level runnable the output was: 

```python
"data": {"output": AIMessageChunk(content="hello world!", id='some id')}
```

As part of a chain the output was:

```
            "data": {
                "output": {
                    "generations": [
                        [
                            {
                                "generation_info": None,
                                "message": AIMessageChunk(
                                    content="hello world!", id=AnyStr()
                                ),
                                "text": "hello world!",
                                "type": "ChatGenerationChunk",
                            }
                        ]
                    ],
                    "llm_output": None,
                }
            },
```

After this PR, we will always use the simpler representation:

```python
"data": {"output": AIMessageChunk(content="hello world!", id='some id')}
```

**NOTE** Non chat models (i.e., regular LLMs) are still associated with
the more verbose format.

### Remove some `_stream` events

`on_retriever_stream` and `on_tool_stream` events were removed -- these
were not real events, but created as an artifact of implementing on top
of astream_log.

The same information is already available in the `x_on_end` events.

### Propagating Names

Names of runnables have been updated to be more consistent

```python
  model = GenericFakeChatModel(messages=infinite_cycle).configurable_fields(
        messages=ConfigurableField(
            id="messages",
            name="Messages",
            description="Messages return by the LLM",
        )
    )
```

Before:
```python
"name": "RunnableConfigurableFields",
```

After:
```python
"name": "GenericFakeChatModel",
```

### on_retriever_end

on_retriever_end will always return `output` which is a list of
documents (rather than a dict containing a key called "documents")

### Retry events

Removed the `on_retry` callback handler. It was incorrectly showing that
the failed function being retried has invoked `on_chain_end`


https://github.com/langchain-ai/langchain/pull/21638/files#diff-e512e3f84daf23029ebcceb11460f1c82056314653673e450a5831147d8cb84dL1394
3 weeks ago
Rajendra Kadam 54e003268e
langchain[minor]: Add PebbloRetrievalQA chain with Identity & Semantic Enforcement support (#20641)
- **Description:** PebbloRetrievalQA chain introduces identity
enforcement using vector-db metadata filtering
- **Dependencies:** None
- **Issue:** None
- **Documentation:** Adding documentation for PebbloRetrievalQA chain in
a separate PR(https://github.com/langchain-ai/langchain/pull/20746)
- **Unit tests:** New unit-tests added

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
3 weeks ago
Bagatur 241a6e43a5
docs: update structured how to (#21679) 3 weeks ago
Jib f369495fa0
mongodb: [performance] Increase DEFAULT_INSERT_BATCH_SIZE to 100,000 and introduce sizing constraints (#19608) 3 weeks ago
Eugene Yurtsev e69a9bedf8
core[patch]: Update mypy config (#21684)
Update mypy config to ignore checking deps from numpy and pytest (which are optional in langsmith sdk)
3 weeks ago
Erick Friis 9973547aef
mongodb: release 0.1.4 (#21678) 3 weeks ago
Jib a97473c846
mongodb[patch]: Make ObjectId JSON-serializable on generation (#21394) 3 weeks ago
Eugene Yurtsev 5c64c004cc
core[patch]: Add unit tests with some streaming scenarios (#21668)
Add unit tests that show differences between sync / async versions when
streaming.

The inner on_chain_chunk event is missing if mixing sync and async
functionality. Likely due to missing tap_output_iter implementation on
the sync variant of `_transform_stream_with_config`
3 weeks ago
Eugene Yurtsev 2ac4d2960c
core[patch]: Add unit test to catch ordering (#21669)
Add unit test to catch ordering issues
3 weeks ago
Zhao Blake 972d2071c6
core[patch]: Fix typo in VectorStoreExampleSelector doc-string (#21574) 3 weeks ago
Erick Friis 2a984e8e3f
docs: huggingface package (#21645) 3 weeks ago
Erick Friis c77d2f2b06
multiple: core 0.2 nonbreaking dep, check_diff community->langchain dep (#21646)
0.2 is not a breaking release for core (but it is for langchain and
community)

To keep the core+langchain+community packages in sync at 0.2, we will
relax deps throughout the ecosystem to tolerate `langchain-core` 0.2
3 weeks ago
Anush edd68e4ad4
qdrant: init package (#21146)
## Description

This PR introduces the new `langchain-qdrant` partner package, intending
to deprecate the community package.

## Changes

- Moved the Qdrant vector store implementation `/libs/partners/qdrant`
with integration tests.
- The conditional imports of the client library are now regular with
minor implementation improvements.
- Added a deprecation warning to
`langchain_community.vectorstores.qdrant.Qdrant`.
- Replaced references/imports from `langchain_community` with either
`langchain_core` or by moving the definitions to the `langchain_qdrant`
package itself.
- Updated the Qdrant vector store documentation to reflect the changes.

## Testing
- `QDRANT_URL` and
[`QDRANT_API_KEY`](583e36bf6b)
env values need to be set to [run integration
tests](d608c93d1f)
in the [cloud](https://cloud.qdrant.tech).
- If a Qdrant instance is running at `http://localhost:6333`, the
integration tests will use it too.
- By default, tests use an
[`in-memory`](https://github.com/qdrant/qdrant-client?tab=readme-ov-file#local-mode)
instance(Not comprehensive).

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Erick Friis <erickfriis@gmail.com>
3 weeks ago
Prashanth Rao 63c3a0e56c
[community][graph]: Update KuzuQAChain and docs (#21218)
This PR makes some small updates for `KuzuQAChain` for graph QA.

- Updated Cypher generation prompt (we now support `WHERE EXISTS`) and
generalize it more
- Support different LLMs for Cypher generation and QA
- Update docs and examples
3 weeks ago
Tomaz Bratanic 89ff6a3d3b
Add sentiment and confidence levels to diffbotgraphtransformer (#21590)
Co-authored-by: Erick Friis <erickfriis@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
3 weeks ago
Erick Friis 9b51ca08bc
huggingface: fix community dep checking (#21628) 4 weeks ago
Erick Friis 91a2ea5cd6
chroma, mongodb: fix docstrings (#21629) 4 weeks ago
Jofthomas afd85b60fc
huggingface: init package (#21097)
First Pr for the langchain_huggingface partner Package

- Moved some of the hugging face related class from `community` to the
new `partner package`

Still needed :
- Documentation
- Tests
- Support for the new apply_chat_template in `ChatHuggingFace`
- Confirm choice of class to support for embeddings witht he
sentence-transformer team.

cc : @efriis

---------

Co-authored-by: Cyril Kondratenko <kkn1993@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
4 weeks ago
Tomaz Bratanic 9fce03e7db
community[patch]: Fix neo4j enhanced schema (#21582) 4 weeks ago
Christophe Bornet 66a4da8ad0
community[patch]: Improve Cassandra VectorStore docsctrings (#21620) 4 weeks ago
adreo00 40aff1eacc
core[major]: AsyncCallbackManagerForToolRun no longer casts return object to string (#20374)
- **Description:** Stops `AsyncCallbackManagerForToolRun` from
converting the output to str
- **Issue:** #20372
- **Dependencies:** None
4 weeks ago
Eugene Yurtsev 25fbe356b4
community[patch]: upgrade to recent version of mypy (#21616)
This PR upgrades community to a recent version of mypy. It inserts type:
ignore on all existing failures.
4 weeks ago
Eugene Yurtsev b923951062
langchain[patch]: CI add lint rule for community imports (#21618)
Add a rule to check for imports from community in global scope
4 weeks ago
Jorge Piedrahita Ortiz 4378fbbef0
community[patch]: Fix typos in Sambanova integration doc-strings (#21617)
- **Description:** Sambanova integration docstrings updated, bad
formated

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
4 weeks ago
Christophe Bornet bcf53f93e1
[community]: Add missing docstring param to CassandraLoader (#21611) 4 weeks ago
Christophe Bornet e6fa4547b1
community[minor]: Add alazy_load to AsyncHtmlLoader (#21536)
Also fixes a bug that `_scrape` was called and was doing a second HTTP
request synchronously.

**Twitter handle:** cbornet_
4 weeks ago
Wang Guan b53548dcda
langchain[minor]: allow CacheBackedEmbeddings to cache queries (#20073)
Add optional caching of queries to cache backed embeddings
4 weeks ago
Guangdong Liu a156aace2b
core[patch]:Fix Incorrect listeners parameters for Runnable.with_listeners() and .map() (#20661)
- **Issue:** fix #20509
-  @baskaryan, @eyurtsev


![image](https://github.com/langchain-ai/langchain/assets/48236177/f799a976-b983-4d8b-b373-64392e1fd6c6)
4 weeks ago
junkeon 480c02bf55
upstage[minor]: add merge_and_split function for document loader (#21603)
- Introduce the `merge_and_split` function in the
`UpstageLayoutAnalysisLoader`.
- The `merge_and_split` function takes a list of documents and a
splitter as inputs.
- This function merges all documents and then divides them using the
`split_documents` method, which is a proprietary function of the
splitter.
- If the provided splitter is `None` (which is the default setting), the
function will simply merge the documents without splitting them.
4 weeks ago
Leonid Ganeline 500569da48
community[patch]: `vectorstores` import update (#21169)
Issue: we have several helper functions to import third-party libraries
like lancedb.import_lancedb in
[community.vectorstores](https://api.python.langchain.com/en/latest/vectorstores/langchain_community.vectorstores.lancedb.import_lancedb.html#langchain_community.vectorstores.lancedb.import_lancedb).
And we have core.utils.utils.guard_import that works exactly for this
purpose.
The import_<package> functions work inconsistently and rather be private
functions.
Change: replaced these functions with the guard_import function.

Related to #21133
4 weeks ago
ccurme 3003363605
langchain, community: remove cap on sqlalchemy and bump duckdb (#21509) 4 weeks ago
ccurme 01a3228d8e
standard tests: add test for few-shot examples (#21019) 4 weeks ago
Chuyuan Qu af875cff57
prompty: adding Microsoft langchain_prompty package (#21346)
Co-authored-by: Micky Liu <wayliu@microsoft.com>
Co-authored-by: wayliums <wayliums@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
4 weeks ago
Matt Florence d3ca2cc8c3
langchain: Fix broken `OpenAIModerationChain` and implement async (#18537)
Thank you for contributing to LangChain!

## PR title
lancghain[patch]: fix `OpenAIModerationChain` and implement async

## PR message
Description: fix `OpenAIModerationChain` and implement async

Issues: 
- https://github.com/langchain-ai/langchain/issues/18533 
- https://github.com/langchain-ai/langchain/issues/13685

Dependencies: none
Twitter handle: mattflo


## Add tests and docs
 
Existing documentation is broken:
https://python.langchain.com/docs/guides/safety/moderation


- [ 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/

---------

Co-authored-by: Emilia Katari <emilia@outpace.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Erick Friis <erickfriis@gmail.com>
4 weeks ago
ccurme 4170e72a42
openai: fix loads unit test (#21542)
following changes to tests in core here:
https://github.com/langchain-ai/langchain/pull/21342/files
4 weeks ago
Erick Friis 3db85cbb5b
community: deps (#21508) 4 weeks ago
Erick Friis 8580e350be
cli: release 0.0.22 (#21507) 4 weeks ago
Anthony Chu c735849e76
azure-dynamic-sessions: add Python REPL tool (#21264)
Adds a Python REPL that executes code in a code interpreter session
using Azure Container Apps dynamic sessions.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
4 weeks ago
Erick Friis 02701c277f
langchain: core min version (#21506) 4 weeks ago
Erick Friis 13b01104c9
langchain: drop sqlalchemy max, release 0.2.0rc2 (#21504) 4 weeks ago
ccurme 375f447e58
community: fix builds with min dependencies (#21495) 4 weeks ago
Trayan Azarov ba7d53689c
community: Chroma Adding create_collection_if_not_exists flag to Chroma constructor (#21420)
- **Description:** Adds the ability to either `get_or_create` or simply
`get_collection`. This is useful when dealing with read-only Chroma
instances where users are constraint to using `get_collection`. Targeted
at Http/CloudClients mostly.
- **Issue:** chroma-core/chroma#2163
- **Dependencies:** N/A
- **Twitter handle:** `@t_azarov`




| Collection Exists | create_collection_if_not_exists | Outcome | test |

|-------------------|---------------------------------|----------------------------------------------------------------|----------------------------------------------------------|
| True | False | No errors, collection state unchanged |
`test_create_collection_if_not_exist_false_existing` |
| True | True | No errors, collection state unchanged |
`test_create_collection_if_not_exist_true_existing` |
| False | False | Error, `get_collection()` fails |
`test_create_collection_if_not_exist_false_non_existing` |
| False | True | No errors, `get_or_create_collection()` creates the
collection | `test_create_collection_if_not_exist_true_non_existing` |
4 weeks ago
ccurme 3bb9bec314
bedrock: add unit test for retriever (#21485)
This was implemented in
https://github.com/langchain-ai/langchain/pull/21349 but dropped before
merge.
4 weeks ago
Renu Rozera 4035a1d234
Add source metadata to bedrock retriever response (#21349)
Thank you for contributing to LangChain!

- [X] **PR title**: "community: Add source metadata to bedrock retriever
response"

- [X] **PR message**: 
- **Description:** Bedrock retrieve API returns extra metadata in the
response which is currently not returned in the retriever response
- **Issue:** The change adds the metadata from bedrock retrieve API
response to the bedrock retriever in a backward compatible way. Renamed
metadata to sourceMetadata as metadata term is being used in the
Document already. This is in sync with what we are doing in llama-index
as well.
    - **Dependencies:** No


- [X] **Add tests and docs**:
  1. Added unit tests
  2. Notebook already exists and does not need any change
3. Response from end to end testing, just to ensure backward
compatibility: `[Document(page_content='Exoplanets.',
metadata={'location': {'s3Location': {'uri':
's3://bucket/file_name.txt'}, 'type': 'S3'}, 'score': 0.46886647,
'source_metadata': {'x-amz-bedrock-kb-source-uri':
's3://bucket/file_name.txt', 'tag': 'space', 'team': 'Nasa', 'year':
1946.0}})]`


- [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.

---------

Co-authored-by: Piyush Jain <piyushjain@duck.com>
4 weeks ago
Erick Friis f178c67ad0
community: release 0.2.0rc1, bump deps (#21470) 4 weeks ago
William FH b28be5d407
Pass through Run ID Explicitly (#21469) 4 weeks ago
Erick Friis 83eecd54fe
experimental: 0.2 relax (#21468) 4 weeks ago
roiperlman 9992beaff9
community: Add arguments to whisper parser (#20378)
**Description:** Added a few additional arguments to the whisper parser,
which can be consumed by the underlying API.
The prompt is especially important to fine-tune transcriptions.

---------

Co-authored-by: Roi Perlman <roi@fivesigmalabs.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 weeks ago
Yash cb31c3611f
Ndb enterprise (#21233)
Description: Adds NeuralDBClientVectorStore to the langchain, which is
our enterprise client.

---------

Co-authored-by: kartikTAI <129414343+kartikTAI@users.noreply.github.com>
Co-authored-by: Kartik Sarangmath <kartik@thirdai.com>
4 weeks ago
Oguz Vuruskaner 5b35f077f9
[community][fix](DeepInfraEmbeddings): Implement chunking for large batches (#21189)
**Description:**
This PR introduces chunking logic to the `DeepInfraEmbeddings` class to
handle large batch sizes without exceeding maximum batch size of the
backend. This enhancement ensures that embedding generation processes
large batches by breaking them down into smaller, manageable chunks,
each conforming to the maximum batch size limit.

**Issue:**
Fixes #21189

**Dependencies:**
No new dependencies introduced.
4 weeks ago
Sokolov Fedor f4ddf64faa
community: Add MarkdownifyTransformer to langchain_community.document_transformers (#21247)
- Added new document_transformer: MarkdonifyTransformer, that uses
`markdonify` package with customizable options to convert HTML to
Markdown. It's similar to Html2TextTransformer, but has more flexible
options and also I've noticed that sometimes MarkdownifyTransformer
performs better than html2text one, so that's why I use markdownify on
my project.
- Added docs and tests

- Usage:
```python
from langchain_community.document_transformers import MarkdownifyTransformer

markdownify = MarkdownifyTransformer()
docs_transform = markdownify.transform_documents(docs)
```

- Example of better performance on simple task, that I've noticed:
```
<html>
<head><title>Reports on product movement</title></head>
<body>
<p data-block-key="2wst7">The reports on product movement will be useful for forming supplier orders and controlling outcomes.</p>
</body>
```
**Html2TextTransformer**: 
```python
[Document(page_content='The reports on product movement will be useful for forming supplier orders and\ncontrolling outcomes.\n\n')]
# Here we can see 'and\ncontrolling', which has extra '\n' in it
```
**MarkdownifyTranformer**:
```python
[Document(page_content='Reports on product movement\n\nThe reports on product movement will be useful for forming supplier orders and controlling outcomes.')]
```

---------

Co-authored-by: Sokolov Fedor <f.sokolov@sokolov-macbook.bbrouter>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Sokolov Fedor <f.sokolov@sokolov-macbook.local>
Co-authored-by: Sokolov Fedor <f.sokolov@192.168.1.6>
4 weeks ago
Alex JW d3ce6aad2e
community: Instantiate GPT4AllEmbeddings with parameters (#21238)
### GPT4AllEmbeddings parameters
---

**Description:** 
As of right now the **Embed4All** class inside _GPT4AllEmbeddings_ is
instantiated as it's default which leaves no room to customize the
chosen model and it's behavior. Thus:

- GPT4AllEmbeddings can now be instantiated with custom parameters like
a different model that shall be used.

---------

Co-authored-by: AlexJauchWalser <alexander.jauch-walser@knime.com>
4 weeks ago
Philippe PRADOS 7be68228da
community[patch]: Make sql record manager fully compatible with async (#20735)
The `_amake_session()` method does not allow modifying the
`self.session_factory` with
anything other than `async_sessionmaker`. This prohibits advanced uses
of `index()`.

In a RAG architecture, it is necessary to import document chunks.
To keep track of the links between chunks and documents, we can use the
`index()` API.
This API proposes to use an SQL-type record manager.

In a classic use case, using `SQLRecordManager` and a vector database,
it is impossible
to guarantee the consistency of the import. Indeed, if a crash occurs
during the import
(problem with the network, ...)
there is an inconsistency between the SQL database and the vector
database.

With the
[PR](https://github.com/langchain-ai/langchain-postgres/pull/32) we are
proposing for `langchain-postgres`,
it is now possible to guarantee the consistency of the import of chunks
into
a vector database.  It's possible only if the outer session is built
with the connection.

```python
def main():
    db_url = "postgresql+psycopg://postgres:password_postgres@localhost:5432/"
    engine = create_engine(db_url, echo=True)
    embeddings = FakeEmbeddings()
    pgvector:VectorStore = PGVector(
        embeddings=embeddings,
        connection=engine,
    )

    record_manager = SQLRecordManager(
        namespace="namespace",
        engine=engine,
    )
    record_manager.create_schema()

    with engine.connect() as connection:
        session_maker = scoped_session(sessionmaker(bind=connection))
        # NOTE: Update session_factories
        record_manager.session_factory = session_maker
        pgvector.session_maker = session_maker
        with connection.begin():
            loader = CSVLoader(
                    "data/faq/faq.csv",
                    source_column="source",
                    autodetect_encoding=True,
                )
            result = index(
                source_id_key="source",
                docs_source=loader.load()[:1],
                cleanup="incremental",
                vector_store=pgvector,
                record_manager=record_manager,
            )
            print(result)
```
The same thing is possible asynchronously, but a bug in
`sql_record_manager.py`
in `_amake_session()` must first be fixed.

```python
    async def _amake_session(self) -> AsyncGenerator[AsyncSession, None]:
        """Create a session and close it after use."""

        # FIXME: REMOVE if not isinstance(self.session_factory, async_sessionmaker):~~
        if not isinstance(self.engine, AsyncEngine):
            raise AssertionError("This method is not supported for sync engines.")

        async with self.session_factory() as session:
            yield session
``` 

Then, it is possible to do the same thing asynchronously:

```python
async def main():
    db_url = "postgresql+psycopg://postgres:password_postgres@localhost:5432/"
    engine = create_async_engine(db_url, echo=True)
    embeddings = FakeEmbeddings()
    pgvector:VectorStore = PGVector(
        embeddings=embeddings,
        connection=engine,
    )
    record_manager = SQLRecordManager(
        namespace="namespace",
        engine=engine,
        async_mode=True,
    )
    await record_manager.acreate_schema()

    async with engine.connect() as connection:
        session_maker = async_scoped_session(
            async_sessionmaker(bind=connection),
            scopefunc=current_task)
        record_manager.session_factory = session_maker
        pgvector.session_maker = session_maker
        async with connection.begin():
            loader = CSVLoader(
                "data/faq/faq.csv",
                source_column="source",
                autodetect_encoding=True,
            )
            result = await aindex(
                source_id_key="source",
                docs_source=loader.load()[:1],
                cleanup="incremental",
                vector_store=pgvector,
                record_manager=record_manager,
            )
            print(result)


asyncio.run(main())
```

---------

Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Sean <sean@upstage.ai>
Co-authored-by: JuHyung-Son <sonju0427@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: YISH <mokeyish@hotmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Jason_Chen <820542443@qq.com>
Co-authored-by: Joan Fontanals <joan.fontanals.martinez@jina.ai>
Co-authored-by: Pavlo Paliychuk <pavlo.paliychuk.ca@gmail.com>
Co-authored-by: fzowl <160063452+fzowl@users.noreply.github.com>
Co-authored-by: samanhappy <samanhappy@gmail.com>
Co-authored-by: Lei Zhang <zhanglei@apache.org>
Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com>
Co-authored-by: merdan <48309329+merdan-9@users.noreply.github.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Andres Algaba <andresalgaba@gmail.com>
Co-authored-by: davidefantiniIntel <115252273+davidefantiniIntel@users.noreply.github.com>
Co-authored-by: Jingpan Xiong <71321890+klaus-xiong@users.noreply.github.com>
Co-authored-by: kaka <kaka@zbyte-inc.cloud>
Co-authored-by: jingsi <jingsi@leadincloud.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Rahul Triptahi <rahul.psit.ec@gmail.com>
Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
Co-authored-by: Shengsheng Huang <shannie.huang@gmail.com>
Co-authored-by: Michael Schock <mjschock@users.noreply.github.com>
Co-authored-by: Anish Chakraborty <anish749@users.noreply.github.com>
Co-authored-by: am-kinetica <85610855+am-kinetica@users.noreply.github.com>
Co-authored-by: Dristy Srivastava <58721149+dristysrivastava@users.noreply.github.com>
Co-authored-by: Matt <matthew.gotteiner@microsoft.com>
Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
4 weeks ago
Andreas Motl 17e42bbd18
community[patch]: pgvector: Slight refactoring to make code a bit more reusable (#16243)
- **Description:** Improve [pgvector vector store
adapter](https://github.com/langchain-ai/langchain/blob/v0.1.1/libs/community/langchain_community/vectorstores/pgvector.py)
to make it reusable by adapters deriving from that.
  - **Issue:** NA
  - **Dependencies:** NA
  - **References:** https://github.com/crate-workbench/langchain/pull/1
  - **Addressed to:** @eyurtsev, @cbornet


Hi from the CrateDB team,

first of all, thanks a stack for conceiving and maintaining LangChain.
We are currently [preparing a
patch](https://github.com/crate-workbench/langchain/pull/1) for adding
[CrateDB](https://github.com/crate/crate) to the list of community
adapters.

Because CrateDB aims to be compatible with PostgreSQL to some degree,
the vector store subsystem in LangChain derives functionality from the
corresponding implementation for pgvector.

Therefore, in order to make the implementation more reusable, we needed
to rename the private methods `__from` and `__query_collection` to the
less private counterparts `_from` and `_query_collection`, so they can
be overwritten, in order to unlock other adapters deriving from
[pgvector](https://github.com/langchain-ai/langchain/blob/v0.1.1/libs/community/langchain_community/vectorstores/pgvector.py).

With kind regards,
Andreas.
4 weeks ago
Mehrdad Shokri f103927b88
bugfix(community): fix Playwright import paths. (#21395)
- **Description:** Fix import class name exporeted from
'playwright.async_api' and 'playwright.sync_api' to match the correct
name in playwright tool. Change import from inline guard_import to
helper function that calls guard_import to make code more readable in
gmail tool. Upgrade playwright version to 1.43.0
- **Issue:** #21354
- **Dependencies:** upgrade playwright version(this is not required for
the bugfix itself, just trying to keep dependencies fresh. I can remove
the playwright version upgrade if you want.)
4 weeks ago
Shailendra Mishra aa966b6161
Replaced bind variable in SQL with formatted string for compatibility with sql syntax. (#21439)
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 weeks ago
Eugene Yurtsev f92006de3c
multiple: langchain 0.2 in master (#21191)
0.2rc 

migrations

- [x] Move memory
- [x] Move remaining retrievers
- [x] graph_qa chains
- [x] some dependency from evaluation code potentially on math utils
- [x] Move openapi chain from `langchain.chains.api.openapi` to
`langchain_community.chains.openapi`
- [x] Migrate `langchain.chains.ernie_functions` to
`langchain_community.chains.ernie_functions`
- [x] migrate `langchain/chains/llm_requests.py` to
`langchain_community.chains.llm_requests`
- [x] Moving `langchain_community.cross_enoders.base:BaseCrossEncoder`
->
`langchain_community.retrievers.document_compressors.cross_encoder:BaseCrossEncoder`
(namespace not ideal, but it needs to be moved to `langchain` to avoid
circular deps)
- [x] unit tests langchain -- add pytest.mark.community to some unit
tests that will stay in langchain
- [x] unit tests community -- move unit tests that depend on community
to community
- [x] mv integration tests that depend on community to community
- [x] mypy checks

Other todo

- [x] Make deprecation warnings not noisy (need to use warn deprecated
and check that things are implemented properly)
- [x] Update deprecation messages with timeline for code removal (likely
we actually won't be removing things until 0.4 release) -- will give
people more time to transition their code.
- [ ] Add information to deprecation warning to show users how to
migrate their code base using langchain-cli
- [ ] Remove any unnecessary requirements in langchain (e.g., is
SQLALchemy required?)

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
4 weeks ago
ccurme 6b392d6d12
robocorp: release 0.0.6 (#21441) 4 weeks ago
Tommi Holmgren ee35b9ba56
langchain-robocorp: remove toolkit return content max length (#21436)
Robocorp (action server) toolkit had a limitation that the content
length returned by the tool was always cut to max 5000 chars. This was
from the time when context windows were much more limited.

This PR removes the limitation. Whatever the underlying tool provides
gets sent back to the agent.

As the robocorp toolkit no longer restricts the content, the implication
is that either the Action (tool) developer or the agent developer needs
to be aware of potentially oversized tool responses. Our point of view
is this should be the agent developer's responsibility, them being in
control of the use case and aware of the context window the LLM has.
4 weeks ago
JuHyung Son 710e57d779
upstage: deprecate UPSTAGE_DOCUMENT_AI_API_KEY (#21363)
Description: We are merging UPSTAGE_DOCUMENT_AI_API_KEY and
UPSTAGE_API_KEY into one, and only UPSTAGE_API_KEY will be used going
forward. And we changed the base class of ChatUpstage to BaseChatOpenAI.

---------

Co-authored-by: Sean <chosh0615@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
4 weeks ago
Erick Friis 6a295d1ec0
upstage: release 0.1.4 (#21432) 4 weeks ago
Mateusz Szewczyk 7926cc1929
ibm: Fix llm and embeddings "verify" attribute default value (#21429)
Thank you for contributing to LangChain!

- [x] **PR title**: "langchain-ibm: Fix llm and embeddings 'verify'
attribute default value"


- [x] **PR message**: 
    - **Description:** fix default value of "verify" attribute
    - **Dependencies:** `ibm_watsonx_ai`


- [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/

Co-authored-by: Erick Friis <erick@langchain.dev>
4 weeks ago
Dobiichi-Origami 5b00885b49
community: add `bind_tools` and `with_structured_output` support to `QianfanChatEndpoint` (#21412)
…Endpoint`

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:** add `bind_tools` and `with_structured_output` support
to `QianfanChatEndpoint`


- [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/
4 weeks ago
Silas Xu aafaf3e193
The predict_and_parse is deprecated, instead pass an output parser directly to LLMChain. (#20130)
The `predict_and_parse` method is deprecated, instead pass an output
parser directly to LLMChain.

- [x] **PR title**: "langchain: update chain_extract.py"


![image](https://github.com/langchain-ai/langchain/assets/40889019/e950d79f-5a0f-4086-86e9-89f627990fe5)

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
4 weeks ago
ccurme 3c31bd0ed0
langchain: update use of predict_and_parse in LLMChainFilter (#21389)
Following https://github.com/langchain-ai/langchain/pull/20130

Removes deprecation warnings in docs here:
https://python.langchain.com/docs/modules/data_connection/retrievers/contextual_compression/

Tested using the same docs notebook + existing integration test.
4 weeks ago
Erick Friis bbdf0f8801
experimental[patch]: core and langchain dep (#21402) 1 month ago
Erick Friis e4aca0d052
experimental[patch]: release 0.0.58 (#21397) 1 month ago
Leonid Ganeline 791d59a2c8
community: `callbacks` guard_imports (#21173)
Issue: we have several helper functions to import third-party libraries
like import_uptrain in
[community.callbacks](https://api.python.langchain.com/en/latest/callbacks/langchain_community.callbacks.uptrain_callback.import_uptrain.html#langchain_community.callbacks.uptrain_callback.import_uptrain).
And we have core.utils.utils.guard_import that works exactly for this
purpose.
The import_<package> functions work inconsistently and rather be private
functions.
Change: replaced these functions with the guard_import function.

Related to #21133
1 month ago
Rahul Triptahi 7994cba18d
[Community][Minor]: Fetch loader_source of GoogleDriveLoader in PebbloSafeLoader. (#21314)
Description: This PR includes fix for loader_source to be fetched from
metadata in case of GdriveLoaders.
Documentation: NA
Unit Test: NA

Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
1 month ago
Nuno Campos ad0f3c14c2
core: allow mermaid node labels to have any characters (#21385)
- it's only node ids that are limited

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.
1 month ago
Eugene Yurtsev 6a1d61dbf1
community[patch]: Fix in memory vectorstore to take into account ids when adding docs (#21384)
Should respect `ids` if passed
1 month ago
Miroslav 04e2611fea
Added additional headers for HuggingFaceInferenceAPIEmbeddings endpoint. (#21282)
Thank you for contributing to LangChain!

- [ ] **HuggingFaceInferenceAPIEmbeddings**: "Additional Headers"
  - Where: langchain, community, embeddings. huggingface.py.
- Community: add additional headers when needed by custom HuggingFace
TEI embedding endpoints. HuggingFaceInferenceAPIEmbeddings"


- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** Adding the `additional_headers` to be passed to
requests library if needed
    - **Dependencies:** none
 

- [ ] **Add tests and docs**: If you're adding a new integration, please
include
1. Tested with locally available TEI endpoints with and without
`additional_headers`
  2. Example  Usage
  
```python
embeddings=HuggingFaceInferenceAPIEmbeddings(
                             api_key=MY_CUSTOM_API_KEY,
                             api_url=MY_CUSTOM_TEI_URL,
                             additional_headers={
                                "Content-Type": "application/json"
                               }
)
```

 

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.

---------

Co-authored-by: Massimiliano Pronesti <massimiliano.pronesti@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
1 month ago
Guangdong Liu 1fe66f5d39
community(patch) fix MoonshotChat moonshot_api_key is invaild for api key (#21361)
Description: close
https://github.com/langchain-ai/langchain/issues/21237
@baskaryan, @eyurtsev
1 month ago
Tomaz Bratanic 0bf7596839
Add simple node properties to llm graph transformer (#21369)
Add support for simple node properties in llm graph transformer.

Linter and dynamic pydantic classes aren't friends, hence I added two
ignores
1 month ago
ccurme 080af0ec53
langchain: sync -> async methods in OpenAI assistants (#21378) 1 month ago
Tomaz Bratanic ad3fd44a7f
experimental: Fix llm graph transformer bug (#21362) 1 month ago
Erick Friis bb81ae5c8c
together: fix chat model and embedding classes (#21353) 1 month ago
Hassan El Mghari d6ef5fe86a
together: add chat models, use openai base (#21337)
**Description:** Adding chat completions to the Together AI package,
which is our most popular API. Also staying backwards compatible with
the old API so folks can continue to use the completions API as well.
Also moved the embedding API to use the OpenAI library to standardize it
further.

**Twitter handle:** @nutlope

- [x] **Add tests and docs**: If you're adding a new integration, please
include
- [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/

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

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
1 month ago
Jacob Lee a2d31307bb
Adds confirmation logs after creating a new project (#12618)
@efriis @hwchase17

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
1 month ago
Erick Friis 0fb93cd740
core: release 0.1.52 (#21350) 1 month ago
Wu Enze 32c61b3ece
community[patch]: chat message history mypy fixes #17048 (#20114)
Relates [#17048]
Description : Applied fix to redis and neo4j file.

Error was : `Cannot override writeable attribute with read-only
property`

fix with the same solution of
[[langchain/libs/community/langchain_community/chat_message_histories/elasticsearch.py](d5c412b0a9/libs/community/langchain_community/chat_message_histories/elasticsearch.py (L170-L175))]

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
1 month ago
nrpd25 95cc8e3fc3
premai[patch]:Standardized model init args (#21308)
[Standardized model init args
#20085](https://github.com/langchain-ai/langchain/issues/20085)
- Enable premai chat model to be initialized with `model_name` as an
alias for `model`, `api_key` as an alias for `premai_api_key`.
- Add initialization test `test_premai_initialization`

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
1 month ago
Nuno Campos 6f17158606
fix: core: Include in json output also fields set outside the constructor (#21342) 1 month ago
Tomaz Bratanic ac14f171ac
Add indexed properties to neo4j enhanced schema (#21335) 1 month ago
scaserini a6cdf6572f
community: add Kendra DocumentRelevanceOverrideConfigurations request parameter (#20695)
- **Description:** add **DocumentRelevanceOverrideConfigurations**
request parameter to Kendra retriever

Co-authored-by: Simone Caserini <simone.caserini@klarna.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
1 month ago
Nuno Campos 0345bcf4ef
Fix failing test for serialization (#21344)
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.
1 month ago
Trayan Azarov 93226b1945
community: Updated Chroma version range to include 0.5.0 release (#21224)
- Updated Chroma version range to allow releases in 0.5.x.
- Bumped mypy version as linting was failing
1 month ago
Jorge Piedrahita Ortiz e65652c3e8
community: add SambaNova embeddings integration (#21227)
- **Description:**  SambaNova hosted embeddings integration
1 month ago
Jorge Piedrahita Ortiz df1c10260c
community: minor changes sambanova integration (#21231)
- **Description:** fix: variable names in root validator not allowing
pass credentials as named parameters in llm instancing, also added
sambanova's sambaverse and sambastudio llms to __init__.py for module
import
1 month ago
Jan Soubusta d9a61c0fa9
fix: respect table_name argument when calling from_texts (#21252)
valid for from_documents() as well

fixes #21251
1 month ago
Pedro Lima bebf46c4a2
community: added args_schema to YahooFinanceNewsTool (#21232)
Description: this change adds args_schema (pydantic BaseModel) to
YahooFinanceNewsTool for correct schema formatting on LLM function calls

Issue: currently using YahooFinanceNewsTool with OpenAI function calling
returns the following error "TypeError("YahooFinanceNewsTool._run() got
an unexpected keyword argument '__arg1'")". This happens because the
schema sent to the LLM is "input: "{'__arg1': 'MSFT'}"" while the method
should be called with the "query" parameter.

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
1 month ago
Mark Cusack 060987d755
community[minor]: Add indexing via locality sensitive hashing to the Yellowbrick vector store (#20856)
- **Description:** Add LSH-based indexing to the Yellowbrick vector
store module
- **Twitter handle:** @markcusack

---------

Co-authored-by: markcusack <markcusack@markcusacksmac.lan>
Co-authored-by: markcusack <markcusack@Mark-Cusack-sMac.local>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
1 month ago
Rashmi Pawar a2fdabdad2
mark NemoEmbeddings as deprecated (#21239)
The NemoEmbeddings is deprecated, instead use
langchain-nvidia-ai-endpoints NVIDIAEmbeddings interface.

cc: @mattf

---------

Co-authored-by: Daniel Glogowski <167348611+dglogo@users.noreply.github.com>
Co-authored-by: andyjessen <62343929+andyjessen@users.noreply.github.com>
Co-authored-by: Chris Germann <88305668+TAAGECH9@users.noreply.github.com>
Co-authored-by: gere <gere@kapo.zh.ch>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
1 month ago
Erick Friis 9e4b24a2d6
langchain: release 0.1.18 (#21338) 1 month ago
Erick Friis 5c000f8d79
community: release 0.0.37 (#21332) 1 month ago
Leonid Ganeline 8c13e8a79b
langchain: `qa_chain` fix (#21279)
Issue: `load_qa_chain` is placed in the __init__.py file. As a result,
it is not listed in the API Reference docs.
BTW `load_qa_chain` is heavily presented in the doc examples, but is
missed in API Ref.
Change: moved code from init.py into a new file. Related: #21266
1 month ago
Erick Friis 7ecf9996f1
community: Revert "community: langkit dependency" (#21333)
Reverts langchain-ai/langchain#21174

Hey team - going to revert this because it doesn't seem necessary for
testing. We should only be adding optional + extended_testing
dependencies for deps that have extended tests.

otherwise it just increases probability of dependency conflicts in the
community lockfile.
1 month ago
Param Singh fee91d43b7
baichuan[patch]:standardize chat init args (#21298)
Thank you for contributing to LangChain!

community:baichuan[patch]: standardize init args

updated `baichuan_api_key` so that aliased to `api_key`. Added test that
it continues to set the same underlying attribute. Test checks for
`SecretStr`

updated `temperature` with Pydantic Field, added unit test. 

Related to https://github.com/langchain-ai/langchain/issues/20085
1 month ago
Christophe Bornet 484a009012
community[minor]: Relax constraints on Cassandra VectorStore constructors (#21209)
If Session and/or keyspace are not provided, they are resolved from
cassio's context. So they are not required.
This change is fully backward compatible.
1 month ago
Leonid Ganeline 6feddfae88
community: langkit dependency (#21174)
Issue: the `langkit` package is not presented in the `pyproject.toml`
but it is a requirement for the `WhyLabsCallbackHandler`
Change: added `langkit`

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
1 month ago
Erick Friis 811e9cee8b
core: release 0.1.51 (#21328) 1 month ago
Mateusz Szewczyk 682d21c3de
ibm: Add support for ibm-watsonx-ai new major version (#21313)
Thank you for contributing to LangChain!

- [x] **PR title**: "langchain-ibm: Add support for ibm-watsonx-ai new
major version"


- [x] **PR message**: 
    - **Description:** Add support for ibm-watsonx-ai new major version
    - **Dependencies:** `ibm_watsonx_ai`


- [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/

Co-authored-by: Erick Friis <erick@langchain.dev>
1 month ago
Chris Papademetrious ee6c922c91
langchain[minor]: enhance `LocalFileStore` to offer `update_atime` parameter that updates access times on read (#20951)
**Description:**
The `LocalFileStore` class can be used to create an on-disk
`CacheBackedEmbeddings` cache. The number of files in these embeddings
caches can grow to be quite large over time (hundreds of thousands) as
embeddings are computed for new versions of content, but the embeddings
for old/deprecated content are not removed.

A *least-recently-used* (LRU) cache policy could be applied to the
`LocalFileStore` directory to delete cache entries that have not been
referenced for some time:

```bash
# delete files that have not been accessed in the last 90 days
find embeddings_cache_dir/ -atime 90 -print0 | xargs -0 rm
```

However, most filesystems in enterprise environments disable access time
modification on read to improve performance. As a result, the access
times of these cache entry files are not updated when their values are
read.

To resolve this, this pull request updates the `LocalFileStore`
constructor to offer an `update_atime` parameter that causes access
times to be updated when a cache entry is read.

For example,

```python
file_store = LocalFileStore(temp_dir, update_atime=True)
```

The default is `False`, which retains the original behavior.

**Testing:**
I updated the LocalFileStore unit tests to test the access time update.
1 month ago
Tomaz Bratanic 5b6d1a907d
Add the extract types to diffbot graph transformer (#21315)
Before you could only extract triples (diffbot calls it facts) from
diffbot to avoid isolated nodes. However, sometimes isolated nodes can
still be useful like for prefiltering, so we want to allow users to
extract them if they want. Default behaviour is unchanged.
1 month ago
aditya thomas b868c78a12
partners[anthropic]: update unit test for key passed in from the environment (#21290)
**Description:** Update unit test for ChatAnthropic
**Issue:** Test for key passed in from the environment should not have
the key initialized in the constructor
**Dependencies:** None
1 month ago
Rohan Aggarwal 8021d2a2ab
community[minor]: Oraclevs integration (#21123)
Thank you for contributing to LangChain!

- Oracle AI Vector Search 
Oracle AI Vector Search is designed for Artificial Intelligence (AI)
workloads that allows you to query data based on semantics, rather than
keywords. One of the biggest benefit of Oracle AI Vector Search is that
semantic search on unstructured data can be combined with relational
search on business data in one single system. This is not only powerful
but also significantly more effective because you don't need to add a
specialized vector database, eliminating the pain of data fragmentation
between multiple systems.


- Oracle AI Vector Search is designed for Artificial Intelligence (AI)
workloads that allows you to query data based on semantics, rather than
keywords. One of the biggest benefit of Oracle AI Vector Search is that
semantic search on unstructured data can be combined with relational
search on business data in one single system. This is not only powerful
but also significantly more effective because you don't need to add a
specialized vector database, eliminating the pain of data fragmentation
between multiple systems.
This Pull Requests Adds the following functionalities
Oracle AI Vector Search : Vector Store
Oracle AI Vector Search : Document Loader
Oracle AI Vector Search : Document Splitter
Oracle AI Vector Search : Summary
Oracle AI Vector Search : Oracle Embeddings


- We have added unit tests and have our own local unit test suite which
verifies all the code is correct. We have made sure to add guides for
each of the components and one end to end guide that shows how the
entire thing runs.


- We have made sure that make format and make lint run clean.

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.

---------

Co-authored-by: skmishraoracle <shailendra.mishra@oracle.com>
Co-authored-by: hroyofc <harichandan.roy@oracle.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 month ago
ccurme c9e9470c5a
langchain: fix deprecation decorators on extraction chains (#21276)
Calling any of these raises
```
ValueError: A pending deprecation cannot have a scheduled removal
```
1 month ago
Wickes Wong ee1adaacaa
langchain[patch]: Fix summary buffer memory with return message flag (#21115)
## Description
Memory return could be set as `str` or `message` by `return_messages`
flag as mentioned in
https://python.langchain.com/docs/modules/memory/#whether-memory-is-a-string-or-a-list-of-messages,
where
`langchain.chains.conversation.memory.ConversationSummaryBufferMemory`
did not implement that.
This commit added `buffer_as_str` and `buffer_as_messages` function, and
`buffer` now affected by `return_messages` flag.

## Example Test Code and Output

```python
# Fix: ConversationSummaryBufferMemory with return_messages flag function
# Test code
from langchain.chains.conversation.memory import ConversationSummaryBufferMemory
from langchain_community.llms.ollama import Ollama

llm = Ollama()

# Create an instance of ConversationSummaryBufferMemory with return_messages set to True
memory = ConversationSummaryBufferMemory(return_messages=True, llm=llm)

# Add user and AI messages to the chat memory
memory.chat_memory.add_user_message("hi!")
memory.chat_memory.add_ai_message("what's up?")

# Print the buffer
print("Buffer:")
print(*map(type, memory.buffer), sep="\n")
print(memory.buffer, "\n")

# Print the buffer as a string
print("Buffer as String:")
print(type(memory.buffer_as_str))
print(memory.buffer_as_str, "\n")

# Print the buffer as messages
print("Buffer as Messages:")
print(*map(type, memory.buffer_as_messages), sep="\n")
print(memory.buffer_as_messages, "\n")

# Print the buffer after setting return_messages to False
memory.return_messages = False
print("Buffer after setting return_messages to False:")
print(type(memory.buffer))
print(memory.buffer, "\n")
```

```plaintext
Buffer:
<class 'langchain_core.messages.human.HumanMessage'>
<class 'langchain_core.messages.ai.AIMessage'>
[HumanMessage(content='hi!'), AIMessage(content="what's up?")] 

Buffer as String:
<class 'str'>
Human: hi!
AI: what's up? 

Buffer as Messages:
<class 'langchain_core.messages.human.HumanMessage'>
<class 'langchain_core.messages.ai.AIMessage'>
[HumanMessage(content='hi!'), AIMessage(content="what's up?")] 

Buffer after setting return_messages to False:
<class 'str'>
Human: hi!
AI: what's up? 
```

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
1 month ago
Leonid Ganeline 9639457222
community[patch]: `tools` imports (#21156)
Issue: we have several helper functions to import third-party libraries
like tools.gmail.utils.import_google in
[community.tools](https://api.python.langchain.com/en/latest/community_api_reference.html#id37).
And we have core.utils.utils.guard_import that works exactly for this
purpose.
The import_<package> functions work inconsistently and rather be private
functions.
Change: replaced these functions with the guard_import function.

Related to #21133
1 month ago
Leonid Ganeline 3ef8b24277
core[patch]: `utils.guard_import` fix (#21133)
Issues (nit): 
1. `utils.guard_import` prints wrong error message when there is an
import `error.` It prints the whole `module_name` but should be only the
first part as the pip package name. E.i. `langchain_core.utils` -> print
not `langchain-core` but `langchain_core.utils`. Also replace '_' with
'-' in the pip package name.
2. it does not handle the `ModuleNotFoundError` which raised if
`guard_import("wrong_module")`

Fixed issues; added ut-s. Controversial: I've reraised
`ModuleNotFoundError` as `ImportError`, since in case of the error, the
proposed action is the same - we need to install a missed package.
1 month ago
Erick Friis 36c2ca3c8b
mistralai: relax tokenizers dep (#21277) 1 month ago
Nuno Campos 6e1e0c7d5c
fix: core: draw_mermaid() would create subgroup for edges with same src and tgt (#21275)
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.
1 month ago
Eugene Yurtsev 26a37dce0a
langchain[patch]: Remove jsonpatch from poetry file (#21272)
jsonpatch is only used in langchain-core not in langchain
1 month ago
Eugene Yurtsev 335bd01e45
langchain[patch]: Update deprecation warning (#21268)
Update deprecation warning
1 month ago
Leonid Ganeline 23a05c3986
langchain: `summarize` chain fix (#21266)
Issue: `load_summarize_chain` is placed in the __init__.py file. As a
result, it doesn't listed in the API Reference docs.
Change: moved code from __init__.py into a new file.
1 month ago
ccurme 6da3d92b42
(all): update removal in deprecation warnings from 0.2 to 0.3 (#21265)
We are pushing out the removal of these to 0.3.

`find . -type f -name "*.py" -exec sed -i ''
's/removal="0\.2/removal="0.3/g' {} +`
1 month ago
Eugene Yurtsev d6e34f9ee5
langchain[patch]: Improve deprecation warnings (#21262)
* Remove spurious derprecation warning
* Make deprecation warnings consistent with 0.1 namespaces that were announced as deprecated
1 month ago
Eugene Yurtsev 487aff7e46
langchain[patch]: Revert 20794 until 0.2 release (#21257)
PR of 2079 was already released as part of 0.1.17rc.


Issue for 0.2 release:
https://github.com/langchain-ai/langchain/issues/21080
1 month ago
Eugene Yurtsev ba4a309d98
langchain[patch]: Revert breaking change until 0.2 release (#21256)
Reverts a minor breaking change until 0.2 release
1 month ago
Eugene Yurtsev 66a1e3f083
langchain[patch]: Fix flaky unit test (#21258)
Should sort the results of the import test since it depends on import order
1 month ago
Eugene Yurtsev 0989c48028
langchain[minor]: Re-add deleted ainetwork tool (#21254)
* Adding __init__.py to turn it into a package in community
* Adding proxy imports that assume that langchain_community is optional
1 month ago
Christophe Bornet 2fbe82f5e6
community[minor]: Relax constraints on CassandraChatMessageHistory constructor (#21241) 1 month ago
Chris Germann 3a8d1d8838
Hotfix RetrievalQA Docs: docs: Fix formatting (#21183)
# Newline Characters breaking formatting 

**Description**: 
As you can see in the image below, the formatting in the documentation
is broken. As far as I can see the two added `\n` characters are
breaking the documentation. Therefore I would propose to remove those

![image](https://github.com/langchain-ai/langchain/assets/88305668/23b6e726-71b2-4812-91ea-3e8600683733)

**Dependencies**:
None

**Twitter Handle**
- epu9byj

---------

Co-authored-by: gere <gere@kapo.zh.ch>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
1 month ago
Bagatur 67a5cc34c6
openai[patch]: Release 0.1.6 (#21236) 1 month ago
Erick Friis c1eb95b967
core: release 0.1.50 (#21230) 1 month ago
Nuno Campos 47ce8d5a57
core: tracer: remove numeric execution order (#21220)
- this hasn't been used in a long time and requires some additional
bookkeeping i'm going to streamline in the next pr
1 month ago
Bagatur 6ac6158a07
openai[patch]: support tool_choice="required" (#21216)
Co-authored-by: ccurme <chester.curme@gmail.com>
1 month ago
xindoo c1aa237bc2
langchain: fix syntax error in code comment for create_tool_calling_agent (#21205)
**PR message**:
- **Description:** Corrected a syntax error in the code comments within
the `create_tool_calling_agent` function in the langchain package.
- **Issue:** N/A
- **Dependencies:** No additional dependencies required.
- **Twitter handle:** N/A
1 month ago
ccurme eb0a2fd53a
mistral: release 0.1.6 (#21214) 1 month ago
ccurme 2d77e5e3a1
(standard tests): add test for basic conversation sequence (#21213) 1 month ago
Maxime Perrin 1ebb5a70ad
partners(mistralai): Removing unused variable in completion request (using tool_calls or content) (#21201)
This PR fixes #21196.

The error was occurring when calling chat completion API with a chat
history. Indeed, the Mistral API does not accept both `content` and
`tool_calls` in the same body.

This PR removes one of theses variables depending on the necessity.

---------

Co-authored-by: Maxime Perrin <mperrin@doing.fr>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
1 month ago
Christophe Bornet 683fb45c6b
community[patch]: Refactor CassandraDatabase wrapper (#21075)
* Introduce individual `fetch_` methods for easier typing.
* Rework some docstrings to google style
* Move some logic to the tool
* Merge the 2 cassandra utility files
1 month ago
Raghav Dixit 7d451d0041
community[patch]: Update lancedb.py (#21192)
very minor update in LanceDB integration, 'metric' argument was missing.
1 month ago
Bagatur d297d90ad9
core[patch]: Release 0.1.49 (#21211) 1 month ago
Nuno Campos 663747b730
core[patch]: Fixes for convert_messages (#21207)
- support two-tuples of any sequence type (eg. json.loads never produces
tuples)
- support type alias for role key
- if id is passed in in dict form use it
- if tool_calls passed in in dict form use them

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 month ago
Eugene Yurtsev df49404794
langchain[patch]: Make more memory code handle community dependency as optional (#21199) 1 month ago
ccurme bd5d2c2674
langchain: import InMemoryChatMessageHistory from core (#21198) 1 month ago
Eugene Yurtsev 3cd7fced5f
langchain[patch],community[minor]: Migrate memory implementations to community (#20845)
Migrates memory implementations to community
1 month ago
Eugene Yurtsev b5c3a04e4b
langchain[patch]: chat histories to handle optional community dependence (#21194) 1 month ago
Eugene Yurtsev c9119b0e75
langchain[patch],community[minor]: Move some unit tests from langchain to community, use core for fake models (#21190) 1 month ago
Eugene Yurtsev c306364b06
langchain[patch]: Update more code to use langchain community as an optional dependency (#21170)
More code to use langchain community as an optional dependency
1 month ago
Bagatur 6fa8626e2f
openai[patch]: fix azure open lc serialization, release 0.1.5 (#21159) 1 month ago
Eugene Yurtsev 94a838740e
langchain[patch]: Migrate more code in utils to use optional langchain import (#21166)
Moving is interactive util to avoid circular deps
1 month ago
Eugene Yurtsev 23fdd320bc
langchain[patch]: Migrate more code to use optional community in agents namespace (#21167) 1 month ago
Tomaz Bratanic 9e53fa7d2e
Some more fixes to neo4j enhanced schema (#21139) 1 month ago
Erick Friis 0694538c39
ai21: fix core version (#21168) 1 month ago
Eugene Yurtsev 44602bdc20
langchain[patch],community[minor]: Move load_tools to community (#21158)
Move load tools to community
1 month ago
Eugene Yurtsev 9932f49b3e
langchain[patch]: Migrate llms to use optional community imports (#21101) 1 month ago
Eugene Yurtsev 57e8e70daa
langchain[patch]: Migrate chat models to optional community imports (#21090)
Migrate chat models to optional community imports
1 month ago
Eugene Yurtsev 2914abd747
langchain[patch]: Fix how the serializable test identifies serializable objects (#21165)
dir() will not work if we're using optional imports. The only way to do this is by using contents of __all__
1 month ago
Eugene Yurtsev 23c5d87311
langchain[patch]: Migrate utils to use optional langchain_community (#21163)
Migrate utils to use optional imports from langchain community
1 month ago
Eugene Yurtsev bec3eee3fa
langchain[patch]: Migrate retrievers to use optional langchain community imports (#21155) 1 month ago
Eugene Yurtsev 43110daea5
langchain[patch]: Update some agent tool kits to handle community import as optional (#21157)
A few things that were not caught by the migration script
1 month ago
Eugene Yurtsev 59f10ab3e0
langchain[patch]: Migrate embeddings to optional imports (#21099) 1 month ago
Eugene Yurtsev 2f709d94d7
langchain[patch]: Migrate vectorstores to use optional langchain community imports (#21150) 1 month ago
Eugene Yurtsev 7230e430db
langchain[patch]: Migrate top level files to use optional langchain community (#21152)
Migrate a few top level files to treat langchain community as an optional dependency
1 month ago
Erick Friis daab9789a8
ai21: release 0.1.4 (#21151) 1 month ago
Asaf Joseph Gardin 642975dd9f
partners: AI21 Labs Jamba Support (#20815)
Description: Added support for AI21 new model - Jamba
Twitter handle: https://github.com/AI21Labs

---------

Co-authored-by: Asaf Gardin <asafg@ai21.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
1 month ago
Eugene Yurtsev 7a39fe60da
langchain[patch]: Migrate utilities to handle langchain community as optional (#21149) 1 month ago
Eugene Yurtsev b879184595
langchain[patch]: embedddings distance move import of openai embeddings into local scope (#21148) 1 month ago
Eugene Yurtsev 0e5bf16d00
langchain[patch]: Migrate document loaders to use optional langchain community imports (#21095) 1 month ago
Harrison Chase 4d1c21d97d
community[patch]: Fix alternative name in deprecation notice for sql_database (#21144) 1 month ago
East Agile 2a6f78a53f
community[minor]: Rememberizer retriever (#20052)
**Description:**
This pull request introduces a new feature for LangChain: the
integration with the Rememberizer API through a custom retriever.
This enables LangChain applications to allow users to load and sync
their data from Dropbox, Google Drive, Slack, their hard drive into a
vector database that LangChain can query. Queries involve sending text
chunks generated within LangChain and retrieving a collection of
semantically relevant user data for inclusion in LLM prompts.
User knowledge dramatically improved AI applications.
The Rememberizer integration will also allow users to access general
purpose vectorized data such as Reddit channel discussions and US
patents.

**Issue:**
N/A

**Dependencies:**
N/A

**Twitter handle:**
https://twitter.com/Rememberizer
1 month ago
Eugene Yurtsev 1ce1a10f2b
langchain[patch],community[minor]: Move graph index creator (#20795)
Move graph index creator to community
1 month ago
Eugene Yurtsev aa0bc7467c
langchain[patch]: Migrate agents module into optional imports for community (#21088) 1 month ago
Eugene Yurtsev 86ff8a3fb4
langchain[patch]: Update docstore module to use optional imports from community (#21091) 1 month ago
Eugene Yurtsev d640605694
langchain[patch]: Migrate chat loaders to optional community imports (#21089)
Migrate chat loaders to optional community imports
1 month ago
Eugene Yurtsev 2fcab9acd9
langchain[patch]: Upgrade storage to treat langchain community as optional (#21105) 1 month ago
William FH ab55f6996d
[Core] Tracing: update parent run_tree's child_runs (#21049) 1 month ago
aditya thomas 12b1caf295
openai[patch]: add tests for secret_str for keys (#20982)
**Description:** Add tests to check API keys and Active Directory tokens
are masked
**Issue:** Resolves #12165 for OpenAI and Azure OpenAI models
**Dependencies:** None

Also resolves #12473 which may be closed.

Additional contributors @alex4321 (#12473) and @onesolpark (#12542)
1 month ago
Noah 45ddf4d26f
community[patch]: Update comments for lazy_load method (#21063)
- [ ] **PR message**: 
- **Description:** Refactored the lazy_load method to use asynchronous
execution for improved performance. The method now initiates scraping of
all URLs simultaneously using asyncio.gather, enhancing data fetching
efficiency. Each Document object is yielded immediately once its content
becomes available, streamlining the entire process.
    - **Issue:** N/A
- **Dependencies:** Requires the asyncio library for handling
asynchronous tasks, which should already be part of standard Python
libraries in Python 3.7 and above.
    - **Email:** [r73327118@gmail.com](mailto:r73327118@gmail.com)

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 month ago
Liu Xiaodong 3b473d10f2
experimental: clean python repl input(experimental:Added code for PythonREPL) (#20930)
Update python.py(experimental:Added code for PythonREPL)

Added code for PythonREPL, defining a static method 'sanitize_input'
that takes the string 'query' as input and returns a sanitizing string.
The purpose of this method is to remove unwanted characters from the
input string, Specifically:

1. Delete the whitespace at the beginning and end of the string (' \s').
2. Remove the quotation marks (`` ` ``) at the beginning and end of the
string.
3. Remove the keyword "python" at the beginning of the string (case
insensitive) because the user may have typed it.

This method uses regular expressions (regex) to implement sanitizing.

It all started with this code:
from langchain.agents import Tool
from langchain_experimental.utilities import PythonREPL

python_repl = PythonREPL()
repl_tool = Tool(
    name="python_repl",
description="Remove redundant formatting marks at the beginning and end
of source code from input.Use a Python shell to execute python commands.
If you want to see the output of a value, you should print it out with
`print(...)`.",
    func=python_repl.run,
)

When I call the agent to write a piece of code for me and execute it
with the defined code, I must get an error: SyntaxError('invalid
syntax', ('<string>', 1, 1,'In', 1, 2))

After checking, I found that pythonREPL has less formatting of input
code than the soon-to-be deprecated pythonREPL tool, so I added this
step to it, so that no matter what code I ask the agent to write for me,
it can be executed smoothly and get the output result.
I have tried modifying the prompt words to solve this problem before,
but it did not work, and by adding a simple format check, the problem is
well resolved.
<img width="1271" alt="image"
src="https://github.com/langchain-ai/langchain/assets/164149097/c49a685f-d246-4b11-b655-fd952fc2f04c">

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
1 month ago
Ismail Hossain Polas 1fdf63fa6c
community[patch]: update package name to bagelML (#19948)
**Description**
This pull request updates the Bagel Network package name from
"betabageldb" to "bagelML" to align with the latest changes made by the
Bagel Network team.

The following modifications have been made:

- Updated all references to the old package name ("betabageldb") with
the new package name ("bagelML") throughout the codebase.
- Modified the documentation, and any relevant scripts to reflect the
package name change.
- Tested the changes to ensure that the functionality remains intact and
no breaking changes were introduced.

By merging this pull request, our project will stay up to date with the
latest Bagel Network package naming convention, ensuring compatibility
and smooth integration with their updated library.

Please review the changes and provide any feedback or suggestions. Thank
you!
1 month ago
Tomaz Bratanic 7860e4c649
experimental[patch]: Add support for non-function calling LLMs in llm graph transformers (#21014) 1 month ago
tianzedavid 5a8909440b
docs: remove repetitive words (#21058)
remove repetitive words

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
1 month ago
Tomaz Bratanic c9e96bb5e2
community[patch]: Fix neo4j enhanced schema bugs (#21072) 1 month ago
junkeon 8d2909ee25
upstage[minor]: Update few codes and add upstage loader in pdf section (#21085)
**Description:** Update UpstageLayoutAnalysisParser and Loader and add
upstage loader example in pdf section
**Dependencies:** langchain_community
**Twitter handle:** [@upstageai](https://twitter.com/upstageai)

- [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.
1 month ago
Bagatur bef50ded63
openai[patch]: fix special token default behavior (#21131)
By default handle special sequences as regular text
1 month ago
MacanPN 0f7f448603
community[patch]: add delete() method to AzureSearch vector store (#21127)
**Issue:**
Currently `AzureSearch` vector store does not implement `delete` method.
This PR implements it. This also makes it compatible with LangChain
indexer.

**Dependencies:**
None

**Twitter handle:**
@martintriska1

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
1 month ago
Erick Friis 14422a4220
langchain: fix core dep (#21128) 1 month ago