Commit Graph

3610 Commits (48f84e253e8f0daf8805d7dd36b5bb5a8541a247)

Author SHA1 Message Date
T Cramer 540ebf35a9
community[patch]: Add explicit error message to Bedrock error output. (#17328)
- **Description:** Propagate Bedrock errors into Langchain explicitly.
Use-case: unset region error is hidden behind 'Could not load
credentials...' message
- **Issue:**
[17654](https://github.com/langchain-ai/langchain/issues/17654)
  - **Dependencies:** None

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Marcus Virginia 69bb96c80f
community[patch]: surrealdb handle for empty metadata and allow collection names with complex characters (#17374)
- **Description:** Handle for empty metadata and allow collection names
with complex characters
  - **Issue:** #17057
  - **Dependencies:** `surrealdb`

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
ale-delfino 0df76bee37
core[patch]:: XML parser to cover the case when the xml only contains the root level tag (#17456)
Description: Fix xml parser to handle strings that only contain the root
tag
Issue: N/A
Dependencies: None
Twitter handle: N/A

A valid xml text can contain only the root level tag. Example: <body>
  Some text here
</body>
The example above is a valid xml string. If parsed with the current
implementation the result is {"body": []}. This fix checks if the root
level text contains any non-whitespace character and if that's the case
it returns {root.tag: root.text}. The result is that the above text is
correctly parsed as {"body": "Some text here"}

@ale-delfino

Thank you for contributing to LangChain!

Checklist:

- [x] PR title: Please title your PR "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 template message** and replace it
with the following bulleted list
    - **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] Pass lint and test: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified to check that you're
passing lint and testing. See contribution guidelines for more
information on how to write/run tests, lint, etc:
https://python.langchain.com/docs/contributing/
- [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.

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: Eugene Yurtsev <eyurtsev@gmail.com>
6 months ago
kYLe 124ab79c23
community[minor]: Add Anyscale embedding support (#17605)
**Description:** Add embedding model support for Anyscale Endpoint
**Dependencies:** openai

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Lance Martin 12843f292f
community[patch]: llama cpp embeddings reset default n_batch (#17594)
When testing Nomic embeddings --
```
from langchain_community.embeddings import LlamaCppEmbeddings
embd_model_path = "/Users/rlm/Desktop/Code/llama.cpp/models/nomic-embd/nomic-embed-text-v1.Q4_K_S.gguf"
embd_lc = LlamaCppEmbeddings(model_path=embd_model_path)
embedding_lc = embd_lc.embed_query(query)
```

We were seeing this error for strings > a certain size -- 
```
File ~/miniforge3/envs/llama2/lib/python3.9/site-packages/llama_cpp/llama.py:827, in Llama.embed(self, input, normalize, truncate, return_count)
    824     s_sizes = []
    826 # add to batch
--> 827 self._batch.add_sequence(tokens, len(s_sizes), False)
    828 t_batch += n_tokens
    829 s_sizes.append(n_tokens)

File ~/miniforge3/envs/llama2/lib/python3.9/site-packages/llama_cpp/_internals.py:542, in _LlamaBatch.add_sequence(self, batch, seq_id, logits_all)
    540 self.batch.token[j] = batch[i]
    541 self.batch.pos[j] = i
--> 542 self.batch.seq_id[j][0] = seq_id
    543 self.batch.n_seq_id[j] = 1
    544 self.batch.logits[j] = logits_all

ValueError: NULL pointer access
```

The default `n_batch` of llama-cpp-python's Llama is `512` but we were
explicitly setting it to `8`.
 
These need to be set to equal for embedding models. 
* The embedding.cpp example has an assertion to make sure these are
always equal.
* Apparently this is not being done properly in llama-cpp-python.

With `n_batch` set to 8, if more than 8 tokens are passed the batch runs
out of space and it crashes.

This also explains why the CPU compute buffer size was small:

raw client with default `n_batch=512`
```
llama_new_context_with_model:        CPU input buffer size   =     3.51 MiB
llama_new_context_with_model:        CPU compute buffer size =    21.00 MiB
```
langchain with `n_batch=8`
```
llama_new_context_with_model:        CPU input buffer size   =     0.04 MiB
llama_new_context_with_model:        CPU compute buffer size =     0.33 MiB
```

We can work around this by passing `n_batch=512`, but this will not be
obvious to some users:
```
    embedding = LlamaCppEmbeddings(model_path=embd_model_path,
                                   n_batch=512)
```

From discussion w/ @cebtenzzre. Related:

https://github.com/abetlen/llama-cpp-python/issues/1189

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Zijian Han 8e976545f3
community[patch]: support OpenAI whisper base url (#17695)
**Description:** The base URL for OpenAI is retrieved from the
environment variable "OPENAI_BASE_URL", whereas for langchain it is
obtained from "OPENAI_API_BASE". By adding `base_url =
os.environ.get("OPENAI_API_BASE")`, the OpenAI proxy can execute
correctly.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Paulo Nascimento 44a3484503
community[patch]: add NotebookLoader unit test (#17721)
Thank you for contributing to LangChain!

- **Description:** added unit tests for NotebookLoader. Linked PR:
https://github.com/langchain-ai/langchain/pull/17614
- **Issue:**
[#17614](https://github.com/langchain-ai/langchain/pull/17614)
    - **Twitter handle:** @paulodoestech
- [x] Pass lint and test: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified to check that you're
passing lint and testing. See contribution guidelines for more
information on how to write/run tests, lint, etc:
https://python.langchain.com/docs/contributing/
- [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.

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

---------

Co-authored-by: lachiewalker <lachiewalker1@hotmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Paulo Nascimento 4c3a67122f
community[patch]: add Integration for OpenAI image gen with v1 sdk (#17771)
**Description:** Created a Langchain Tool for OpenAI DALLE Image
Generation.
**Issue:**
[#15901](https://github.com/langchain-ai/langchain/issues/15901)
**Dependencies:** n/a
**Twitter handle:** @paulodoestech

- [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>
6 months ago
Kaixin Yang a8104ea8e9
openai[patch]: add checking codes for calling AI model get error (#17909)
**Description:**: adding checking codes for calling AI model get error
in chat_models/base.py and llms/base.py
**Issue**: Sometimes the AI Model calling will get error, we should
raise it.
Otherwise, the next code 'choices.extend(response["choices"])' will
throw a "TypeError: 'NoneType' object is not iterable" error to mask the
true error.
       Because 'response["choices"]' is None.
**Dependencies**: None

---------

Co-authored-by: yangkx <yangkx@asiainfo-int.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Vincent Chen 833d61adb3
docs: update Together README.md (#18004)
## PR message
**Description:** This PR adds a README file for the Together API in the
`libs/partners` folder of this repository. The README includes:
 - A brief description of the package
 - Installation instructions and class introductions
 - Simple usage examples

**Issue:** #17545 

This PR only contains document changes.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Jiaming 3d3cc71287
community[patch]: fix bugs for bilibili Loader (#18036)
- **Description:** 
1. Fix the BiliBiliLoader that can receive cookie parameters, it
requires 3 other parameters to run. The change is backward compatible.
  2. Add test;      
  3. Add example in docs

- **Issue:** [#14213]

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Sachin Paryani 25c9f3d1d1
community[patch]: Support Streaming in Azure Machine Learning (#18246)
- [x] **PR title**: "community: Support streaming in Azure ML and few
naming changes"

- [x] **PR message**:
- **Description:** Added support for streaming for azureml_endpoint.
Also, renamed and AzureMLEndpointApiType.realtime to
AzureMLEndpointApiType.dedicated. Also, added new classes
CustomOpenAIChatContentFormatter and CustomOpenAIContentFormatter and
updated the classes LlamaChatContentFormatter and LlamaContentFormatter
to now show a deprecated warning message when instantiated.

---------

Co-authored-by: Sachin Paryani <saparan@microsoft.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
xiaohuanshu ecb11a4a32
langchain[patch]: fix BaseChatMemory get output data error with extra key (#18117)
**Description:** At times, BaseChatMemory._get_input_output may acquire
some extra keys such as 'intermediate_steps' (agent_executor with
return_intermediate_steps set to True) and 'messages'
(agent_executor.iter with memory). In these instances, _get_input_output
can raise an error due to the presence of multiple keys. The 'output'
field should be used as the default field in these cases.
**Issue:** #16791
6 months ago
Victor Adan afa2d85405
community[patch]: Added missing from_documents method to KNNRetriever. (#18411)
- Description: Added missing `from_documents` method to `KNNRetriever`,
providing the ability to supply metadata to LangChain `Document`s, and
to give it parity to the other retrievers, which do have
`from_documents`.
- Issue: None
- Dependencies: None
- Twitter handle: None

Co-authored-by: Victor Adan <vadan@netroadshow.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Smit Parmar dfc4177b50
community[patch]: mypy ignore fix (#18483)
Relates to #17048 
Description : Applied fix to dynamodb and elasticsearch file.

Error was : `Cannot override writeable attribute with read-only
property`
Suggestion:
instead of adding 
```
@messages.setter
def messages(self, messages: List[BaseMessage]) -> None:
    raise NotImplementedError("Use add_messages instead")
```

we can change base class property
`messages: List[BaseMessage]`
to
```
@property
def messages(self) -> List[BaseMessage]:...
```

then we don't need to add `@messages.setter` in all child classes.
6 months ago
aditya thomas dc9e9a66db
docs: update docstring of the ChatAnthropic and AnthropicLLM classes (#18649)
**Description:** Update docstring of the ChatAnthropic and AnthropicLLM
classes
**Issue:** Not applicable
**Dependencies:** None
6 months ago
Luca Dorigo f19229c564
core[patch]: fix beta, deprecated typing (#18877)
**Description:** 

While not technically incorrect, the TypeVar used for the `@beta`
decorator prevented pyright (and thus most vscode users) from correctly
seeing the types of functions/classes decorated with `@beta`.

This is in part due to a small bug in pyright
(https://github.com/microsoft/pyright/issues/7448 ) - however, the
`Type` bound in the typevar `C = TypeVar("C", Type, Callable)` is not
doing anything - classes are `Callables` by default, so by my
understanding binding to `Type` does not actually provide any more
safety - the modified annotation still works correctly for both
functions, properties, and classes.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
aditya thomas 263ee78886
core[runnables]: docstring for class RunnableSerializable, method configurable_fields (#19722)
**Description:** Update to the docstring for class RunnableSerializable,
method configurable_fields
**Issue:** [Add in code documentation to core Runnable methods
#18804](https://github.com/langchain-ai/langchain/issues/18804)
**Dependencies:** None

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
6 months ago
HuangZiy e1f10a697e
openai[patch]: perform judgment processing on chat model streaming delta (#18983)
**PR title:** partners: openai chat model
**PR message:** perform judgment processing on chat model streaming
delta
Closes #18977

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
wulixuan b7c8bc8268
community[patch]: fix yuan2 errors in LLMs (#19004)
1. fix yuan2 errors while invoke Yuan2.
2. update tests.
6 months ago
aditya thomas ec4dcfca7f
core[runnables]: docstring of class RunnableSerializable, method configurable_alternatives (#19724)
**Description:** Update to the docstring for class RunnableSerializable,
method configurable_alternatives
**Issue:** [Add in code documentation to core Runnable methods
#18804](https://github.com/langchain-ai/langchain/issues/18804)
**Dependencies:** None

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
6 months ago
Davide Menini 824dbc49ee
langchain[patch]: add template_tool_response arg to create_json_chat (#19696)
In this small PR I added the `template_tool_response` arg to the
`create_json_chat` function, so that users can customize this prompt in
case of need.
Thanks for your reviews!

---------

Co-authored-by: taamedag <Davide.Menini@swisscom.com>
6 months ago
高远 688ca48019
community[patch]: Adding validation when vector does not exist (#19698)
Adding validation when vector does not exist

Co-authored-by: gaoyuan <gaoyuan.20001218@bytedance.com>
6 months ago
Chaunte W. Lacewell 4a49fc5a95
community[patch]: Fix bug in vdms (#19728)
**Description:** Fix embedding check in vdms
**Contribution maintainer:** [@cwlacewe](https://github.com/cwlacewe)
6 months ago
高璟琦 75173d31db
community[minor]: Add solar model chat model (#18556)
Add our solar chat models, available model choices:
* solar-1-mini-chat
* solar-1-mini-translate-enko
* solar-1-mini-translate-koen

More documents and pricing can be found at
https://console.upstage.ai/services/solar.

The references to our solar model can be found at
* https://arxiv.org/abs/2402.17032

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Erick Friis e576d6c6b4
cohere[patch]: release 0.1.0rc1 (rc1-2 never released) (#19731) 6 months ago
harry-cohere ea57050122
cohere: add with_structured_output to ChatCohere (#19730)
**Description:** Adds support for `with_structured_output` to Cohere,
which supports single function calling.

---------

Co-authored-by: BeatrixCohere <128378696+BeatrixCohere@users.noreply.github.com>
6 months ago
Guangdong Liu 0571f886d1
core[patch]: Fix jsonOutputParser fails if a json value contains ``` inside it. (#19717)
- **Issue:** fix #19646 
- @baskaryan, @eyurtsev PTAL
6 months ago
Davide Menini f7042321f1
community[patch]: gather token usage info in BedrockChat during generation (#19127)
This PR allows to calculate token usage for prompts and completion
directly in the generation method of BedrockChat. The token usage
details are then returned together with the generations, so that other
downstream tasks can access them easily.

This allows to define a callback for tokens tracking and cost
calculation, similarly to what happens with OpenAI (see
[OpenAICallbackHandler](https://api.python.langchain.com/en/latest/_modules/langchain_community/callbacks/openai_info.html#OpenAICallbackHandler).
I plan on adding a BedrockCallbackHandler later.
Right now keeping track of tokens in the callback is already possible,
but it requires passing the llm, as done here:
https://how.wtf/how-to-count-amazon-bedrock-anthropic-tokens-with-langchain.html.
However, I find the approach of this PR cleaner.

Thanks for your reviews. FYI @baskaryan, @hwchase17

---------

Co-authored-by: taamedag <Davide.Menini@swisscom.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
ligang-super a662468dde
community[patch]: Fix the error of Baidu Qianfan not passing the stop parameter (#18666)
- [x] **PR title**: "community: fix baidu qianfan missing stop
parameter"
- [x] **PR message**:
- **Description: Baidu Qianfan lost the stop parameter when requesting
service due to extracting it from kwargs. This bug can cause the agent
to receive incorrect results

---------

Co-authored-by: ligang33 <ligang33@baidu.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
BeatrixCohere d1a2e194c3
cohere[patch]: misc fixs tool use agent and cohere chat (#19705)
Bug fixes in this PR:
* allows for other params such as "message" not just the input param to
the prompt for the cohere tools agent
* fixes to documents kwarg from messages
* fixes to tool_calls API call

---------

Co-authored-by: Harry M <127103098+harry-cohere@users.noreply.github.com>
6 months ago
Erick Friis 8c2ed85a45
core[patch], infra: release 0.1.36, run partner CI on core PRs (#19688) 6 months ago
Erick Friis 5327bc9ec4
elasticsearch[patch]: move to repo (#19620) 6 months ago
Nilanjan De 239dd7c0c0
langchain[patch]: Use map() and avoid "ValueError: max() arg is an empty sequence" in MergerRetriever (#18679)
- **Issue:** When passing an empty list to MergerRetriever it fails with
error: ValueError: max() arg is an empty sequence

- **Description:** We have a use case where we dynamically select
retrievers and use MergerRetriever for merging the output of the
retrievers. We faced this issue when the retriever_docs list is empty.
Adding a default 0 for cases when retriever_docs is an empty list to
avoid "ValueError: max() arg is an empty sequence". Also, changed to use
map() which is more than twice as fast compared to the current
implementation.
```
import timeit
# Sample retriever_docs with varying lengths of sublists
retriever_docs = [[i for i in range(j)] for j in range(1, 1000)]
# First code snippet
code1 = '''
max_docs = max(len(docs) for docs in retriever_docs)
'''
# Second code snippet
code2 = '''
max_docs = max(map(len, retriever_docs), default=0)
'''
# Benchmarking
time1 = timeit.timeit(stmt=code1, globals=globals(), number=10000)
time2 = timeit.timeit(stmt=code2, globals=globals(), number=10000)
# Output
print(f"Execution time for code snippet 1: {time1} seconds")
print(f"Execution time for code snippet 2: {time2} seconds")
```

- **Dependencies:** none
6 months ago
aditya thomas 4cd38fe89f
docs: update docstring of the ChatGroq class (#18645)
**Description:** Update docstring of the ChatGroq class
**Issue:** Not applicable
**Dependencies:** None
6 months ago
Jaid e4d7b1a482
voyageai[patch]: top level reranker import (#19645)
The previous version didn't had  Voyage rerank in the init file


- [ ] **PR title**: langchain_voyageai reranker is not working
 


- [ ] **PR message**: 
    - **Description:** This fix let you run reranker from voyage
    - **Issue:** Was not able to run reranker from voyage
  






 @efriis
6 months ago
Juan Jose Miguel Ovalle Villamil 51baa1b5cf
langchain[patch]: fix-cohere-reranker-rerank-method with cohere v5 (#19486)
#### Description
Fixed the following error with `rerank` method from `CohereRerank`:
```
---> [79](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:79) results = self.client.rerank(
     [80](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:80)     query, docs, model, top_n=top_n, max_chunks_per_doc=max_chunks_per_doc
     [81](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:81) )
     [82](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:82) result_dicts = []
     [83](https://vscode-remote+wsl-002bubuntu.vscode-resource.vscode-cdn.net/home/jjmov99/legal-colombia/~/legal-colombia/.venv/lib/python3.11/site-packages/langchain/retrievers/document_compressors/cohere_rerank.py:83) for res in results.results:

TypeError: BaseCohere.rerank() takes 1 positional argument but 4 positional arguments (and 2 keyword-only arguments) were given
```
This was easily fixed going from this:
```
   def rerank(
        self,
        documents: Sequence[Union[str, Document, dict]],
        query: str,
        *,
        model: Optional[str] = None,
        top_n: Optional[int] = -1,
        max_chunks_per_doc: Optional[int] = None,
    ) -> List[Dict[str, Any]]:
         ...
        if len(documents) == 0:  # to avoid empty api call
            return []
        docs = [
            doc.page_content if isinstance(doc, Document) else doc for doc in documents
        ]
        model = model or self.model
        top_n = top_n if (top_n is None or top_n > 0) else self.top_n
        results = self.client.rerank(
            query, docs, model, top_n=top_n, max_chunks_per_doc=max_chunks_per_doc
        )
        result_dicts = []
        for res in results:
            result_dicts.append(
                {"index": res.index, "relevance_score": res.relevance_score}
            )
        return result_dicts
```
to this:
```
    def rerank(
        self,
        documents: Sequence[Union[str, Document, dict]],
        query: str,
        *,
        model: Optional[str] = None,
        top_n: Optional[int] = -1,
        max_chunks_per_doc: Optional[int] = None,
    ) -> List[Dict[str, Any]]:
         ...
        if len(documents) == 0:  # to avoid empty api call
            return []
        docs = [
            doc.page_content if isinstance(doc, Document) else doc for doc in documents
        ]
        model = model or self.model
        top_n = top_n if (top_n is None or top_n > 0) else self.top_n
        results = self.client.rerank(
            query=query, documents=docs, model=model, top_n=top_n, max_chunks_per_doc=max_chunks_per_doc <-------------
        )
        result_dicts = []
        for res in results.results:  <-------------
            result_dicts.append(
                {"index": res.index, "relevance_score": res.relevance_score}
            )
        return result_dicts
```
#### Unit & Integration tests
I added a unit test to check the behaviour of `rerank`. Also fixed the
original integration test which was failing.

#### Format & Linting
Everything worked properly with `make lint_diff`, `make format_diff` and
`make format`. However I noticed an error coming from other part of the
library when doing `make lint`:

```
(langchain-py3.9) ➜  langchain git:(master) make format
[ "." = "" ] || poetry run ruff format .
1636 files left unchanged
[ "." = "" ] || poetry run ruff --select I --fix .
(langchain-py3.9) ➜  langchain git:(master) make lint
./scripts/check_pydantic.sh .
./scripts/lint_imports.sh
poetry run ruff .
[ "." = "" ] || poetry run ruff format . --diff
1636 files already formatted
[ "." = "" ] || poetry run ruff --select I .
[ "." = "" ] || mkdir -p .mypy_cache && poetry run mypy . --cache-dir .mypy_cache
langchain/agents/openai_assistant/base.py:252: error: Argument "file_ids" to "create" of "Assistants" has incompatible type "Optional[Any]"; expected "Union[list[str], NotGiven]"  [arg-type]
langchain/agents/openai_assistant/base.py:374: error: Argument "file_ids" to "create" of "AsyncAssistants" has incompatible type "Optional[Any]"; expected "Union[list[str], NotGiven]"  [arg-type]
Found 2 errors in 1 file (checked 1634 source files)
make: *** [Makefile:65: lint] Error 1
```

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Shuqian 332996b4b2
openai[patch]: fix ChatOpenAI model's openai proxy (#19559)
Due to changes in the OpenAI SDK, the previous method of setting the
OpenAI proxy in ChatOpenAI no longer works. This PR fixes this issue,
making the previous way of setting the OpenAI proxy in ChatOpenAI
effective again.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Bagatur b15c7fdde6
anthropic[patch]: fix response metadata type (#19683) 6 months ago
kaijietti 9c4b6dc979
community[patch]: fix bug in cohere that `async for` a coroutine in ChatCohere (#19381)
Without `await`, the `stream` returned from the `async_client` is
actually a coroutine, which could not be used in `async for`.
6 months ago
Christian Galo 1adaa3c662
community[minor]: Update Azure Cognitive Services to Azure AI Services (#19488)
This is a follow up to #18371. These are the changes:
- New **Azure AI Services** toolkit and tools to replace those of
**Azure Cognitive Services**.
- Updated documentation for Microsoft platform.
- The image analysis tool has been rewritten to use the new package
`azure-ai-vision-imageanalysis`, doing a proper replacement of
`azure-ai-vision`.

These changes:
- Update outdated naming from "Azure Cognitive Services" to "Azure AI
Services".
- Update documentation to use non-deprecated methods to create and use
agents.
- Removes need to depend on yanked python package (`azure-ai-vision`)

There is one new dependency that is needed as a replacement to
`azure-ai-vision`:
- `azure-ai-vision-imageanalysis`. This is optional and declared within
a function.

There is a new `azure_ai_services.ipynb` notebook showing usage; Changes
have been linted and formatted.

I am leaving the actions of adding deprecation notices and future
removal of Azure Cognitive Services up to the LangChain team, as I am
not sure what the current practice around this is.

---

If this PR makes it, my handle is  @galo@mastodon.social

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
6 months ago
Shengsheng Huang ac1dd8ad94
community[minor]: migrate `bigdl-llm` to `ipex-llm` (#19518)
- **Description**: `bigdl-llm` library has been renamed to
[`ipex-llm`](https://github.com/intel-analytics/ipex-llm). This PR
migrates the `bigdl-llm` integration to `ipex-llm` .
- **Issue**: N/A. The original PR of `bigdl-llm` is
https://github.com/langchain-ai/langchain/pull/17953
- **Dependencies**: `ipex-llm` library
- **Contribution maintainer**: @shane-huang

Updated doc:   docs/docs/integrations/llms/ipex_llm.ipynb
Updated test:
libs/community/tests/integration_tests/llms/test_ipex_llm.py
6 months ago
Chaunte W. Lacewell a31f692f4e
community[minor]: Add VDMS vectorstore (#19551)
- **Description:** Add support for Intel Lab's [Visual Data Management
System (VDMS)](https://github.com/IntelLabs/vdms) as a vector store
- **Dependencies:** `vdms` library which requires protobuf = "4.24.2".
There is a conflict with dashvector in `langchain` package but conflict
is resolved in `community`.
- **Contribution maintainer:** [@cwlacewe](https://github.com/cwlacewe)
- **Added tests:**
libs/community/tests/integration_tests/vectorstores/test_vdms.py
- **Added docs:** docs/docs/integrations/vectorstores/vdms.ipynb
- **Added cookbook:** cookbook/multi_modal_RAG_vdms.ipynb

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
William FH b7b62e29fb
community[patch], mongodb[patch]: Stop spamming SIMD import warnings (#19531)
If you use an embedding dist function in an eval loop, you get warned
every time. Would prefer to just check once and forget about it.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Tomaz Bratanic b04e663426
experimental[patch]: Flatten relationships in LLM graph transformer (#19642) 6 months ago
billytrend-cohere 36abb5dd41
cohere[patch]: Fix positional argument (#19678)
cohere: Fix positional argument

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Nuno Campos fdfb51ad8d
core: Two updates to chat model interface (#19684)
- .stream() and .astream() call on_llm_new_token, removing the need for
subclasses to do so. Backwards compatible because now we don't pass
run_manager into ._stream and ._astream
- .generate() and .agenerate() now handle `stream: bool` kwarg for
_generate and _agenerate. Subclasses handle this arg by delegating to
._stream(), now one less thing they need to do. Backwards compat because
this is an optional arg that we now never pass to the subclasses
- .generate() and .agenerate() now inspect callback handlers to decide
on a default value for stream:bool if not passed in. This auto enables
streaming when using astream_events and astream_log
- as a result of these three changes any usage of .astream_events and
.astream_log should now yield chat model stream events
- In future PRs we can update all subclasses to reflect these two things
now handled by base class, but in meantime all will continue to work
6 months ago
harry-cohere 3685f8ceac
cohere[patch]: Add cohere tools agent (#19602)
**Description**: Adds a cohere tools agent and related notebook.

---------

Co-authored-by: BeatrixCohere <128378696+BeatrixCohere@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
6 months ago
William FH 5c41f4083e
[Evals] Fix function calling support (#19658)
Current implementation is overzealous in validating chat datasets

Fixes
[#langsmith-sdk:557](https://github.com/langchain-ai/langsmith-sdk/issues/557)
6 months ago
yongheng.liu 7e29b6061f
community[minor]: integrate China Mobile Ecloud vector search (#15298)
- **Description:** integrate China Mobile Ecloud vector search, 
  - **Dependencies:** elasticsearch==7.10.1

Co-authored-by: liuyongheng <liuyongheng@cmss.chinamobile.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Hyeongchan Kim 9b70131aed
community[patch]: refactor the type hint of `file_path` in `UnstructuredAPIFileLoader` class (#18839)
* **Description**: add `None` type for `file_path` along with `str` and
`List[str]` types.
* `file_path`/`filename` arguments in `get_elements_from_api()` and
`partition()` can be `None`, however, there's no `None` type hint for
`file_path` in `UnstructuredAPIFileLoader` and `UnstructuredFileLoader`
currently.
* calling the function with `file_path=None` is no problem, but my IDE
annoys me lol.
* **Issue**: N/A
* **Dependencies**: N/A

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
CaroFG cf96060ab7
community[patch]: update for compatibility with latest Meilisearch version (#18970)
- **Description:** Updates Meilisearch vectorstore for compatibility
with v1.6 and above. Adds embedders settings and embedder_name which are
now required.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
chyroc be2adb1083
community[patch]: support unstructured_kwargs for s3 loader (#15473)
fix https://github.com/langchain-ai/langchain/issues/15472

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Kahlil Wehmeyer 9c08cdea92
core[patch]: ToolException docs/exception message (#17590)
**Description:**
This PR adds a slightly more helpful message to a Tool Exception

```
# current state
langchain_core.tools.ToolException: Too many arguments to single-input tool

# proposed state
langchain_core.tools.ToolException: Too many arguments to single-input tool. Consider using a StructuredTool instead.
```
**Issue:** Somewhat discussed here 👉  #6197 
 **Dependencies:** None
**Twitter handle:** N/A

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Evgenii Zheltonozhskii 5b1f9c6d3a
infra: Consistent lxml requirements (#19520)
Update the dependency for lxml to be consistent among different
packages; should fix
https://github.com/langchain-ai/langchain/issues/19040
6 months ago
Christophe Bornet 33fa8cfcd0
core[minor]: Add async methods to MaxMarginalRelevanceExampleSelector (#19639) 6 months ago
Taqi Jaffri 72c8b3127d
cli[patch]: Fix typo in dev script name for the --chat-playground option on the cli (#19673)
Fixes typo

---------

Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>
6 months ago
Jan Nissen 2e0ddd6fb8
core[minor]: support pydantic v2 models in PydanticOutputParser (#18811)
As mentioned in #18322, the current PydanticOutputParser won't work for
anyone trying to parse to pydantic v2 models. This PR adds a separate
`PydanticV2OutputParser`, as well as a `langchain_core.pydantic_v2`
namespace that will fail on import to any projects using pydantic<2.
Happy to update the docs for output parsers if this is something we're
interesting in adding.

On a separate note, I also updated `check_pydantic.sh` to detect
pydantic imports with leading whitespace and excluded the internal
namespaces. That change can be separated into its own PR if needed.

---------

Co-authored-by: Jan Nissen <jan23@gmail.com>
6 months ago
Tomaz Bratanic 87d2a6b777
community[minor]: Add the option to omit schema refresh in Neo4jGraph (#19654) 6 months ago
jhicks2306 bcb8ab5216
docs: Improve docstring for Runnable bind method (#19659)
Added example to the docstring of the "bind" method of Runnable. This
makes it easier to understand the purpose of the method when reviewing
in code editors. E.g. VS Code below.

<img width="833" alt="Screenshot 2024-03-27 at 16 24 18"
src="https://github.com/langchain-ai/langchain/assets/45722942/ad022d4e-7bc0-4f4b-aa7a-838f1816cc52">

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
6 months ago
Rajendra Kadam 0019d8a948
community[minor]: Add support for non-file-based Document Loaders in PebbloSafeLoader (#19574)
**Description:**
PebbloSafeLoader: Add support for non-file-based Document Loaders

This pull request enhances PebbloSafeLoader by introducing support for
several non-file-based Document Loaders. With this update,
PebbloSafeLoader now seamlessly integrates with the following loaders:
- GoogleDriveLoader
- SlackDirectoryLoader
- Unstructured EmailLoader

**Issue:** NA
**Dependencies:** - None
**Twitter handle:** @Raj__725

---------

Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>
6 months ago
Christophe Bornet 9954c6a38e
langchain[minor]: Add async methods to EncoderBackedStore (#19597)
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
6 months ago
Erick Friis 929ed65554
cohere[patch]: release 0.1.0rc1 (#19663) 6 months ago
hulitaitai dc2c9dd4d7
Update text2vec.py (#19657)
Add that URL of the embedding tool "text2vec".
Fix minor mistakes in the doc-string.
6 months ago
Erick Friis 7630e9529c
Revert "community: added `partners/package-name` folders" (#19662)
Reverts langchain-ai/langchain#19290
6 months ago
Christophe Bornet 409c6eeb0b
core: Add async methods to LengthBasedExampleSelector (#19640) 6 months ago
Bagatur c7f1962f73
core[patch]: Release 0.1.35 (#19660) 6 months ago
Eugene Yurtsev e8339b1d83
core[patch]: Patch XML vulnerability in XMLOutputParser (CVE-2024-1455) (#19653)
Patch potential XML vulnerability CVE-2024-1455

This patches a potential XML vulnerability in the XMLOutputParser in
langchain-core. The vulnerability in some situations could lead to a
denial of service attack.

At risk are users that:

1) Running older distributions of python that have older version of
libexpat
2) Are using XMLOutputParser with an agent
3) Accept inputs from untrusted sources with this agent (e.g., endpoint
on the web that allows an untrusted user to interact wiith the parser)
6 months ago
Guangdong Liu 7042934b5f
community[patch]: Fix the bug that Chroma does not specify `embedding_function` (#19277)
- **Issue:** close #18291
- @baskaryan, @eyurtsev PTAL
6 months ago
billytrend-cohere 85f57ab4cd
cohere[patch]: Fix cohere rerank (#19624)
Fix cohere rerank inspired by
https://github.com/langchain-ai/langchain/pull/19486
6 months ago
Eugene Yurtsev 8ab7bb3166
core[patch]: XMLOutputParser fix to handle changes to xml standard library (#19612)
Newest python micro releases broke streaming in the XMLOutputParser. This fixes the parsing code to work with trailing junk after the XML content.
6 months ago
yuwenzho 3a7d2cf443
community[minor]: Add ITREX optimized Embeddings (#18474)
Introduction
[Intel® Extension for
Transformers](https://github.com/intel/intel-extension-for-transformers)
is an innovative toolkit designed to accelerate GenAI/LLM everywhere
with the optimal performance of Transformer-based models on various
Intel platforms

Description

adding ITREX runtime embeddings using intel-extension-for-transformers.
added mdx documentation and example notebooks
added embedding import testing.

---------

Signed-off-by: yuwenzho <yuwen.zhou@intel.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Juan Jose Miguel Ovalle Villamil 1fe10a3e3d
experimental[patch]: Enhance LLMGraphTransformer with async processing and improved readability (#19205)
- [x] **PR title**: "experimental: Enhance LLMGraphTransformer with
async processing and improved readability"


- [x] **PR message**: 
- **Description:** This pull request refactors the `process_response`
and `convert_to_graph_documents` methods in the LLMGraphTransformer
class to improve code readability and adds async versions of these
methods for concurrent processing.
    The main changes include:
- Simplifying list comprehensions and conditional logic in the
process_response method for better readability.
- Adding async versions aprocess_response and
aconvert_to_graph_documents to enable concurrent processing of
documents.
These enhancements aim to improve the overall efficiency and
maintainability of the `LLMGraphTransformer` class.
  - **Issue:** N/A
  - **Dependencies:** No additional dependencies required.
  - **Twitter handle:** @jjovalle99


- [x] **Add tests and docs**: N/A (This PR does not introduce a new
integration)


- [x] **Lint and test**: Ran make format, make lint, and make test from
the root of the modified package(s). All tests pass successfully.

Additional notes:

- The changes made in this PR are backwards compatible and do not
introduce any breaking changes.
- The PR touches only the `LLMGraphTransformer` class within the
experimental package.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Fabrizio Ruocco f12cb0bea4
community[patch]: Microsoft Azure Document Intelligence updates (#16932)
- **Description:** Update Azure Document Intelligence implementation by
Microsoft team and RAG cookbook with Azure AI Search

---------

Co-authored-by: Lu Zhang (AI) <luzhan@microsoft.com>
Co-authored-by: Yateng Hong <yatengh@microsoft.com>
Co-authored-by: teethache <hongyateng2006@126.com>
Co-authored-by: Lu Zhang <44625949+luzhang06@users.noreply.github.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Guangdong Liu cd79305eb9
openai[patch]: fix AzureChatOpenAI missing parameter problem (#19258)
- **Issue:** close #19255
- PTAL @baskaryan @eyurtsev
6 months ago
Timothy ad77fa15ee
community[patch]: Adding try-except block for GCSDirectoryLoader (#19591)
- **Description:** Implemented try-except block for
`GCSDirectoryLoader`. Reason: Users processing large number of
unstructured files in a folder may experience many different errors. A
try-exception block is added to capture these errors. A new argument
`use_try_except=True` is added to enable *silent failure* so that error
caused by processing one file does not break the whole function.
- **Issue:** N/A
- **Dependencies:** no new dependencies
- **Twitter handle:** timothywong731

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
fzowl aea2be5bf3
voyageai[patch]: VoyageAI rerank (#19521)
Adding VoyageAI reranking

---------

Co-authored-by: fodizoltan <zoltan@conway.expert>
Co-authored-by: Yujie Qian <thomasq0809@gmail.com>
6 months ago
Leonid Ganeline 3dc0f3c371
experimental[patch]: `PromptTemplate` import fix (#19617)
Changed import of `PromptTemplate` from `langchain` to `langchain_core`
in `langchain_experimental`
6 months ago
xsai9101 160a8eb178
community[minor]: add oracle autonomous database doc loader integration (#19536)
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:** Adding oracle autonomous database document loader
integration. This will allow users to connect to oracle autonomous
database through connection string or TNS configuration.
    https://www.oracle.com/autonomous-database/
    - **Issue:** None
    - **Dependencies:** oracledb python package 
    https://pypi.org/project/oracledb/
- **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.
  Unit test and doc are added.


- [ ] **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 <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Erick Friis bf8ba00520
cli[patch]: release 0.0.22rc0, chat playground (#19614) 6 months ago
jhicks2306 087823aefa
docs: Update docstring for MessagesPlaceholder (#19601)
Update to docstring for MessagesPlaceholder so that it shows helpful
information in code editors. E.g. VS Code as shown below.


<img width="587" alt="Screenshot 2024-03-26 at 17 18 58"
src="https://github.com/langchain-ai/langchain/assets/45722942/8f49d09f-ed8d-4f61-a9d4-3611dbe9c9c5">

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Christophe Bornet 7c2578bd55
langchain[patch]: Add async methods to EmbeddingRouterChain (#19603) 6 months ago
Christophe Bornet b3d7b5a653
langchain[patch[: Add async methods to TimeWeightedVectorStoreRetriever (#19606) 6 months ago
Adam Law aeb7b6b11d
community[patch]: use semantic_configurations in AzureSearch (#19347)
- **Description:** Currently the semantic_configurations are not used
when creating an AzureSearch instance, instead creating a new one with
default values. This PR changes the behavior to use the passed
semantic_configurations if it is present, and the existing default
configuration if not.

---------

Co-authored-by: Adam Law <adamlaw@microsoft.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Christophe Bornet a7274f006e
langchain[patch]: Add async methods to VectorstoreIndexCreator (#19582) 6 months ago
Bagatur 241774012a
core[patch]: Release 0.1.34 (#19609)
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
6 months ago
Nuno Campos c78eb55859
load: Optionally disable reading secrets from env (#19596)
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.
6 months ago
Eugene Yurtsev d3c9974da2
core[patch]: Temporarily disable test for streaming xml parser (#19610)
Test is failing due to micro version bump in python interpreter which
changed something about how std xml parser works
6 months ago
Eugene Yurtsev 8bc5cdccee
core[patch]: Reverting changes with defusedXML (#19604)
DefusedXML is causing parsing errors on previously functional code with
the 0.7.x versions. These do not seem to support newer version of python
well. 0.8.x has only been released as rc, so we're not going to to use
it in the core package
6 months ago
Giannis 9ea2a9b0c1
cohere[patch]: Add additional kwargs support for Cohere SDK params (#19533)
* Adds support for `additional_kwargs` in `get_cohere_chat_request`
* This functionality passes in Cohere SDK specific parameters from
`BaseMessage` based classes to the API

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
6 months ago
Adrian Valente 2763d8cbe5
community: add len() implementation to Chroma (#19419)
Thank you for contributing to LangChain!

- [x] **Add len() implementation to Chroma**: "package: community"


- [x] **PR message**: 
- **Description:** add an implementation of the __len__() method for the
Chroma vectostore, for convenience.
- **Issue:** no exposed method to know the size of a Chroma vectorstore
    - **Dependencies:** None
    - **Twitter handle:** lowrank_adrian


- [x] **Add tests and docs**

- [x] **Lint and test**

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Tom Aarsen e0a1278d2b
docs: HFEmbeddings: Add more information to model_kwargs/encode_kwargs (#19594)
- **Description:** Be more explicit with the `model_kwargs` and
`encode_kwargs` for `HuggingFaceEmbeddings`.
    - **Issue:** -
    - **Dependencies:** -

I received some reports by my users that they didn't realise that you
could change the default `batch_size` with `HuggingFaceEmbeddings`,
which may be attributed to how the `model_kwargs` and `encode_kwargs`
don't give much information about what you can specify.

I've added some parameter names & links to the Sentence Transformers
documentation to help clear it up. Let me know if you'd rather have
Markdown/Sphinx-style hyperlinks rather than a "bare URL".

- Tom Aarsen
6 months ago
Dobiichi-Origami 18e6f9376d
community[Qianfan]: add function_call in additional_kwargs (#19550)
- **Description:** add lacked `function_call` field in
`additional_kwargs` in previous version
- **Dependencies:** None of new dependency
6 months ago
Eugene Yurtsev 9c7e860cf6
core[patch]: Remove anyio dependency (#19583)
The dependency isn't used anymore
6 months ago
mwmajewsk f7a1fd91b8
community: better support of pathlib paths in document loaders (#18396)
So this arose from the
https://github.com/langchain-ai/langchain/pull/18397 problem of document
loaders not supporting `pathlib.Path`.

This pull request provides more uniform support for Path as an argument.
The core ideas for this upgrade: 
- if there is a local file path used as an argument, it should be
supported as `pathlib.Path`
- if there are some external calls that may or may not support Pathlib,
the argument is immidiately converted to `str`
- if there `self.file_path` is used in a way that it allows for it to
stay pathlib without conversion, is is only converted for the metadata.

Twitter handle: https://twitter.com/mwmajewsk
6 months ago
Yuki Watanabe cfecbda48b
community[minor]: Allow passing `allow_dangerous_deserialization` when loading LLM chain (#18894)
### Issue
Recently, the new `allow_dangerous_deserialization` flag was introduced
for preventing unsafe model deserialization that relies on pickle
without user's notice (#18696). Since then some LLMs like Databricks
requires passing in this flag with true to instantiate the model.

However, this breaks existing functionality to loading such LLMs within
a chain using `load_chain` method, because the underlying loader
function
[load_llm_from_config](f96dd57501/libs/langchain/langchain/chains/loading.py (L40))
 (and load_llm) ignores keyword arguments passed in. 

### Solution
This PR fixes this issue by propagating the
`allow_dangerous_deserialization` argument to the class loader iff the
LLM class has that field.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
hulitaitai d7c14cb6f9
community[minor]: Add embeddings integration for text2vec (#19267)
Create a Class which allows to use the "text2vec" open source embedding
model.

It should install the model by running 'pip install -U text2vec'.
Example to call the model through LangChain:

from langchain_community.embeddings.text2vec import Text2vecEmbeddings

            embedding = Text2vecEmbeddings()
            bookend.embed_documents([
                "This is a CoSENT(Cosine Sentence) model.",
"It maps sentences to a 768 dimensional dense vector space.",
            ])
            bookend.embed_query(
                "It can be used for text matching or semantic search."
            )

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
6 months ago
Shotaro Sano 55c624a694
infra: Resolve the endless dependency resolution during the build of `dev.Dockerfile` by copying `poetry.lock` (#19465)
## Description
This PR proposes a modification to the `libs/langchain/dev.Dockerfile`
configuration to copy the `libs/langchain/poetry.lock` into the working
directory. The change aims to address the issue where the Poetry install
command, the last command in the `dev.Dockerfile`, takes excessively
long hours, and to ensure the reproducibility of the poetry environment
in the devcontainer.

## Problem
The `dev.Dockerfile`, prepared for development environments such as
`.devcontainer`, encounters an unending dependency resolution when
attempting the Poetry installation.

### Steps to Reproduce
Execute the following build command: 

```bash
docker build -f libs/langchain/dev.Dockerfile .
```

### Current Behavior
The Docker build process gets stuck at the following step, which, in my
experience, did not conclude even after an entire night:

```
 => [langchain-dev-dependencies 4/6] COPY libs/community/ ../community/                                                                                0.9s
 => [langchain-dev-dependencies 5/6] COPY libs/text-splitters/ ../text-splitters/                                                                      0.0s
 => [langchain-dev-dependencies 6/6] RUN poetry install --no-interaction --no-ansi --with dev,test,docs                                               12.3s
 => => # Updating dependencies                                                                                                                             
 => => # Resolving dependencies...  
```

### Expected Behavior
The Docker build completes in a realistic timeframe. By applying this
PR, the build finishes within a few minutes.

### Analysis
The complexity of LangChain's dependencies has reached a point where
Poetry is required to resolve dependencies akin to threading a needle.
Consequently, poetry install fails to complete in a practical timeframe.

## Solution
The solution for dependency resolution is already recorded in
`libs/langchain/poetry.lock`, so we can use it. When copying
`project.toml` and `poetry.toml`, the `poetry.lock` located in the same
directory should also be copied.

```diff
# Copy only the dependency files for installation
-COPY libs/langchain/pyproject.toml libs/langchain/poetry.toml ./
+COPY libs/langchain/pyproject.toml libs/langchain/poetry.toml libs/langchain/poetry.lock ./
```

## Note
I am not intimately familiar with the historical context of the
`dev.Dockerfile` and thus do not know why `poetry.lock` has not been
copied until now. It might have been an oversight, or perhaps dependency
resolution used to complete quickly even without the `poetry.lock` file
in the past. However, if there are deliberate reasons why copying
`poetry.lock` is not advisable, please just close this PR.
6 months ago
Kalyan Mudumby d27600c6f7
community[patch]: GPTCache pydantic validation error on lookup (#19427)
Description:
this change fixes the pydantic validation error when looking up from
GPTCache, the `ChatOpenAI` class returns `ChatGeneration` as response
which is not handled.
use the existing `_loads_generations` and `_dumps_generations` functions
to handle it

Trace
```
  File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/development/scripts/chatbot-postgres-test.py", line 90, in <module>
    print(llm.invoke("tell me a joke"))
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 166, in invoke
    self.generate_prompt(
  File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 544, in generate_prompt
    return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 408, in generate
    raise e
  File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 398, in generate
    self._generate_with_cache(
  File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 585, in _generate_with_cache
    cache_val = llm_cache.lookup(prompt, llm_string)
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_community/cache.py", line 807, in lookup
    return [
           ^
  File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_community/cache.py", line 808, in <listcomp>
    Generation(**generation_dict) for generation_dict in json.loads(res)
    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/langchain_core/load/serializable.py", line 120, in __init__
    super().__init__(**kwargs)
  File "/home/theinhumaneme/Documents/NebuLogic/conversation-bot/venv/lib/python3.11/site-packages/pydantic/v1/main.py", line 341, in __init__
    raise validation_error
pydantic.v1.error_wrappers.ValidationError: 1 validation error for Generation
type
  unexpected value; permitted: 'Generation' (type=value_error.const; given=ChatGeneration; permitted=('Generation',))
```


Although I don't seem to find any issues here, here's an
[issue](https://github.com/zilliztech/GPTCache/issues/585) raised in
GPTCache. Please let me know if I need to do anything else

Thank you

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Leonid Ganeline 4159a4723c
experimental[patch]: update module doc strings (#19539)
Added missed module descriptions. Fixed format.
6 months ago