Commit Graph

17 Commits (5c1ebd3086f3c46fc21347b8a95c1601e880eff1)

Author SHA1 Message Date
Serena Ruan 850bf89e48
community[patch]: Support passing extra params for executing functions in UCFunctionToolkit (#25652)
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"


Support passing extra params when executing UC functions:
The params should be a dictionary with key EXECUTE_FUNCTION_ARG_NAME,
the assumption is that the function itself doesn't use such variable
name (starting and ending with double underscores), and if it does we
raise Exception.
If invalid params passing to the execute_statement, we raise Exception
as well.


- [x] **Add tests and docs**: If you're adding a new integration, please
include
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.


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

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

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

---------

Signed-off-by: Serena Ruan <serena.rxy@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
4 weeks ago
Luis Valencia 99f9a664a5
community: Azure Search Vector Store is missing Access Token Authentication (#24330)
Added Azure Search Access Token Authentication instead of API KEY auth.
Fixes Issue: https://github.com/langchain-ai/langchain/issues/24263
Dependencies: None
Twitter: @levalencia

@baskaryan

Could you please review? First time creating a PR that fixes some code.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
4 weeks ago
Christophe Bornet 7f1e444efa
partners: Use simsimd types (#25299)
The simsimd package [now has
types](https://github.com/ashvardanian/SimSIMD/releases/tag/v5.0.0)
1 month ago
Serena Ruan 1827bb4042
community[patch]: support bind_tools for ChatMlflow (#24547)
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"


- **Description:** 
Support ChatMlflow.bind_tools method
Tested in Databricks:
<img width="836" alt="image"
src="https://github.com/user-attachments/assets/fa28ef50-0110-4698-8eda-4faf6f0b9ef8">



- [x] **Add tests and docs**: If you're adding a new integration, please
include
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.


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

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

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

---------

Signed-off-by: Serena Ruan <serena.rxy@gmail.com>
2 months ago
Igor Drozdov c2706cfb9e
feat(community): add tools support for litellm (#23906)
I used the following example to validate the behavior

```python
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.runnables import ConfigurableField
from langchain_anthropic import ChatAnthropic
from langchain_community.chat_models import ChatLiteLLM
from langchain_core.tools import tool
from langchain.agents import create_tool_calling_agent, AgentExecutor

@tool
def multiply(x: float, y: float) -> float:
    """Multiply 'x' times 'y'."""
    return x * y

@tool
def exponentiate(x: float, y: float) -> float:
    """Raise 'x' to the 'y'."""
    return x**y

@tool
def add(x: float, y: float) -> float:
    """Add 'x' and 'y'."""
    return x + y

prompt = ChatPromptTemplate.from_messages([
    ("system", "you're a helpful assistant"),
    ("human", "{input}"),
    ("placeholder", "{agent_scratchpad}"),
])

tools = [multiply, exponentiate, add]

llm = ChatAnthropic(model="claude-3-sonnet-20240229", temperature=0)
# llm = ChatLiteLLM(model="claude-3-sonnet-20240229", temperature=0)

agent = create_tool_calling_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)

agent_executor.invoke({"input": "what's 3 plus 5 raised to the 2.743. also what's 17.24 - 918.1241", })
```

`ChatAnthropic` version works:

```
> Entering new AgentExecutor chain...

Invoking: `exponentiate` with `{'x': 5, 'y': 2.743}`
responded: [{'text': 'To calculate 3 + 5^2.743, we can use the "exponentiate" and "add" tools:', 'type': 'text', 'index': 0}, {'id': 'toolu_01Gf54DFTkfLMJQX3TXffmxe', 'input': {}, 'name': 'exponentiate', 'type': 'tool_use', 'index': 1, 'partial_json': '{"x": 5, "y": 2.743}'}]

82.65606421491815
Invoking: `add` with `{'x': 3, 'y': 82.65606421491815}`
responded: [{'id': 'toolu_01XUq9S56GT3Yv2N1KmNmmWp', 'input': {}, 'name': 'add', 'type': 'tool_use', 'index': 0, 'partial_json': '{"x": 3, "y": 82.65606421491815}'}]

85.65606421491815
Invoking: `add` with `{'x': 17.24, 'y': -918.1241}`
responded: [{'text': '\n\nSo 3 + 5^2.743 = 85.66\n\nTo calculate 17.24 - 918.1241, we can use:', 'type': 'text', 'index': 0}, {'id': 'toolu_01BkXTwP7ec9JKYtZPy5JKjm', 'input': {}, 'name': 'add', 'type': 'tool_use', 'index': 1, 'partial_json': '{"x": 17.24, "y": -918.1241}'}]

-900.8841[{'text': '\n\nTherefore, 17.24 - 918.1241 = -900.88', 'type': 'text', 'index': 0}]

> Finished chain.
```

While `ChatLiteLLM` version doesn't.

But with the changes in this PR, along with:

- https://github.com/langchain-ai/langchain/pull/23823
- https://github.com/BerriAI/litellm/pull/4554

The result is _almost_ the same:

```
> Entering new AgentExecutor chain...

Invoking: `exponentiate` with `{'x': 5, 'y': 2.743}`
responded: To calculate 3 + 5^2.743, we can use the "exponentiate" and "add" tools:

82.65606421491815
Invoking: `add` with `{'x': 3, 'y': 82.65606421491815}`


85.65606421491815
Invoking: `add` with `{'x': 17.24, 'y': -918.1241}`
responded:

So 3 + 5^2.743 = 85.66

To calculate 17.24 - 918.1241, we can use:

-900.8841

Therefore, 17.24 - 918.1241 = -900.88

> Finished chain.
```

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

Co-authored-by: ccurme <chester.curme@gmail.com>
2 months ago
Chaunte W. Lacewell 69eacaa887
Community[minor]: Update VDMS vectorstore (#23729)
**Description:** 
- This PR exposes some functions in VDMS vectorstore, updates VDMS
related notebooks, updates tests, and upgrade version of VDMS (>=0.0.20)

**Issue:** N/A

**Dependencies:** 
- Update vdms>=0.0.20
2 months ago
Vishnu Nandakumar e271965d1e
community: retrievers: added capability for using Product Quantization as one of the retriever. (#22424)
- [ ] **Community**: "Retrievers: Product Quantization"
- [X] This PR adds Product Quantization feature to the retrievers to the
Langchain Community. PQ is one of the fastest retrieval methods if the
embeddings are rich enough in context due to the concepts of
quantization and representation through centroids
    - **Description:** Adding PQ as one of the retrievers
    - **Dependencies:** using the package nanopq for this PR
    - **Twitter handle:** vishnunkumar_


- [X] **Add tests and docs**: If you're adding a new integration, please
include
   - [X] Added unit tests for the same in the retrievers.
   - [] Will add an example notebook subsequently

- [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/ -
done the same

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2 months ago
Alexander Golodkov 2a70a07aad
community[minor]: added new document loaders based on dedoc library (#24303)
### Description
This pull request added new document loaders to load documents of
various formats using [Dedoc](https://github.com/ispras/dedoc):
  - `DedocFileLoader` (determine file types automatically and parse)
  - `DedocPDFLoader` (for `PDF` and images parsing)
- `DedocAPIFileLoader` (determine file types automatically and parse
using Dedoc API without library installation)

[Dedoc](https://dedoc.readthedocs.io) is an open-source library/service
that extracts texts, tables, attached files and document structure
(e.g., titles, list items, etc.) from files of various formats. The
library is actively developed and maintained by a group of developers.

`Dedoc` supports `DOCX`, `XLSX`, `PPTX`, `EML`, `HTML`, `PDF`, images
and more.
Full list of supported formats can be found
[here](https://dedoc.readthedocs.io/en/latest/#id1).
For `PDF` documents, `Dedoc` allows to determine textual layer
correctness and split the document into paragraphs.


### Issue
This pull request extends variety of document loaders supported by
`langchain_community` allowing users to choose the most suitable option
for raw documents parsing.

### Dependencies
The PR added a new (optional) dependency `dedoc>=2.2.5` ([library
documentation](https://dedoc.readthedocs.io)) to the
`extended_testing_deps.txt`

### Twitter handle
None

### Add tests and docs
1. Test for the integration:
`libs/community/tests/integration_tests/document_loaders/test_dedoc.py`
2. Example notebook:
`docs/docs/integrations/document_loaders/dedoc.ipynb`
3. Information about the library:
`docs/docs/integrations/providers/dedoc.mdx`

### Lint and test

Done locally:

  - `make format`
  - `make lint`
  - `make integration_tests`
  - `make docs_build` (from the project root)

---------

Co-authored-by: Nasty <bogatenkova.anastasiya@mail.ru>
2 months ago
Ben Chambers 3691701d58
community[minor]: Add keybert-based link extractor (#24311)
- **Description:** Add a `KeybertLinkExtractor` for graph vectorstores.
This allows extracting links from keywords in a Document and linking
nodes that have common keywords.
- **Issue:** None
- **Dependencies:** None.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
2 months ago
Ben Chambers 83f3d95ffa
community[minor]: GLiNER link extraction (#24314)
- **Description:** This allows extracting links between documents with
common named entities using [GLiNER](https://github.com/urchade/GLiNER).
- **Issue:** None
- **Dependencies:** None

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2 months ago
Brice Fotzo 034a8c7c1b
community: support advanced text extraction options for pdf documents (#20265)
**Description:** 
- Updated constructors in PyPDFParser and PyPDFLoader to handle
`extraction_mode` and additional kwargs, aligning with the capabilities
of `PageObject.extract_text()` from pypdf.

- Added `test_pypdf_loader_with_layout` along with a corresponding
example text file to validate layout extraction from PDFs.

**Issue:** fixes #19735 

**Dependencies:** This change requires updating the pypdf dependency
from version 3.4.0 to at least 4.0.0.

Additional changes include the addition of a new test
test_pypdf_loader_with_layout and an example text file to ensure the
functionality of layout extraction from PDFs aligns with the new
capabilities.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
2 months ago
Christopher Tee 5171ffc026
community(you): Integrate You.com conversational APIs (#23046)
You.com is releasing two new conversational APIs — Smart and Research. 

This PR:
- integrates those APIs with Langchain, as an LLM
- streaming is supported

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
2 months ago
Eugene Yurtsev aa8c9bb4a9
community[patch]: Add constraint for pdfminer.six to unbreak CI (#23988)
Something changed in pdfminer six. This PR unreaks CI without
fixing the underlying PDF parser.
3 months ago
ccurme 8fce8c6771
community: fix extended tests (#23640) 3 months ago
Rave Harpaz f5ff7f178b
Add OCI Generative AI new model support (#22880)
- [x] PR title: 
community: Add OCI Generative AI new model support
 
- [x] PR message:
- Description: adding support for new models offered by OCI Generative
AI services. This is a moderate update of our initial integration PR
16548 and includes a new integration for our chat models under
/langchain_community/chat_models/oci_generative_ai.py
    - Issue: NA
- Dependencies: No new Dependencies, just latest version of our OCI sdk
    - Twitter handle: NA


- [x] Add tests and docs: 
  1. we have updated our unit tests
2. we have updated our documentation including a new ipynb for our new
chat integration


- [x] Lint and test: 
 `make format`, `make lint`, and `make test` run successfully

---------

Co-authored-by: RHARPAZ <RHARPAZ@RHARPAZ-5750.us.oracle.com>
Co-authored-by: Arthur Cheng <arthur.cheng@oracle.com>
3 months ago
Cahid Arda Öz 6c07eb0c12
community[minor]: Add UpstashRatelimitHandler (#21885)
Adding `UpstashRatelimitHandler` callback for rate limiting based on
number of chain invocations or LLM token usage.

For more details, see [upstash/ratelimit-py
repository](https://github.com/upstash/ratelimit-py) or the notebook
guide included in this PR.

Twitter handle: @cahidarda

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
4 months ago
Erick Friis a24a9c6427
multiple: get rid of pyproject extras (#22581)
They cause `poetry lock` to take a ton of time, and `uv pip install` can
resolve the constraints from these toml files in trivial time
(addressing problem with #19153)

This allows us to properly upgrade lockfile dependencies moving forward,
which revealed some issues that were either fixed or type-ignored (see
file comments)
4 months ago