Commit Graph

10738 Commits (64ccddf3cb85a3821e94773736dc78585be44c76)
 

Author SHA1 Message Date
Jacob Lee 1213a59f87
docs[patch]: Update kv store docs pages (#24848) 2 months ago
Erick Friis 17a06cb7a6
infra: check templates based on integration (#24857)
instead of hardcoding a linter for each, iterate through the lines of
the template notebook and find lines that start with `##` (includes
lower headings), and enforce that those headings are found in new docs
that are contributed
2 months ago
Erick Friis a7380dd531
cli: release 0.0.28 (#24852) 2 months ago
Erick Friis e98e4be0f7
cli: register new integration doc templates (#24854)
- wait to merge for retriever.ipynb merge #24836
2 months ago
Eugene Yurtsev 210623b409
core[minor]: Add support for pydantic 2 to utility to get fields (#24899)
Add compatibility for pydantic 2 for a utility function.

This will help push some small changes to master, so they don't have to
be kept track of on a separate branch.
2 months ago
Bagatur 7d1694040d
core[patch]: Release 0.2.26 (#24898) 2 months ago
Eugene Yurtsev add16111b9
community[patch]: Make the pydantic linter stricter (#24897)
Stricter linting of deprecated pydantic features.
2 months ago
Eugene Yurtsev a4a444f73d
community[patch]: Fix arcee llm usage of root_validator(pre=False) (#24896)
Should be pre=True
2 months ago
Eugene Yurtsev 69c656aa5f
langchain[minor]: Upgrade ambiguous root_validator to @pre_init (#24895)
The @pre_init validator is a temporary solution for base models. It has
similar (but not identical) semantics to @root_validator(), but it works
strictly as a pre-init validator.

It'll work as expected as long as the pydantic model type hints were
correct.
2 months ago
Eugene Yurtsev 5099a9c9b4
core[patch]: Update unit tests with a workaround for using AnyID in pydantic 2 (#24892)
Pydantic 2 ignores __eq__ overload for subclasses of strings.
2 months ago
Bagatur 8461934c2b
core[patch], integrations[patch]: convert TypedDict to tool schema support (#24641)
supports following UX

```python
    class SubTool(TypedDict):
        """Subtool docstring"""

        args: Annotated[Dict[str, Any], {}, "this does bar"]

    class Tool(TypedDict):
        """Docstring
        Args:
            arg1: foo
        """

        arg1: str
        arg2: Union[int, str]
        arg3: Optional[List[SubTool]]
        arg4: Annotated[Literal["bar", "baz"], ..., "this does foo"]
        arg5: Annotated[Optional[float], None]
```

- can parse google style docstring
- can use Annotated to specify default value (second arg)
- can use Annotated to specify arg description (third arg)
- can have nested complex types
2 months ago
Eugene Yurtsev d24b82357f
community[patch]: Add missing annotations (#24890)
This PR adds annotations in comunity package.

Annotations are only strictly needed in subclasses of BaseModel for
pydantic 2 compatibility.

This PR adds some unnecessary annotations, but they're not bad to have
regardless for documentation pages.
2 months ago
Eugene Yurtsev 7720483432
langchain[patch]: Update unit tests to workaround a pydantic 2 issue (#24886)
This will allow our unit tests to pass when using AnyID() with our pydantic models.
2 months ago
Eugene Yurtsev 2019e31bc5
langchain[patch]: Add missing type annotations (#24889)
Adds missing type annotations in preparation for pydantic 2 upgrade.
2 months ago
ccurme 30f18c7b02
docs: add retriever integrations template (#24836) 2 months ago
Anirudh31415926535 4da3d4b18e
docs: Minor corrections and updates to Cohere docs (#22726)
- **Description:** Update the Cohere's provider and RagRetriever
documentations with latest updates.
    - **Twitter handle:** Anirudh1810
2 months ago
ccurme 40b4a3de6e
docs: update chat model integration pages (#24882)
to conform with template
2 months ago
Nishan Jain b00c0fc558
[Community][minor]: Added prompt governance in pebblo_retrieval (#24874)
Title: [pebblo_retrieval] Identifying entities in prompts given in
PebbloRetrievalQA leading to prompt governance
Description: Implemented identification of entities in the prompt using
Pebblo prompt governance API.
Issue: NA
Dependencies: NA
Add tests and docs: NA
2 months ago
Rajendra Kadam a6add89bd4
community[minor]: [PebbloSafeLoader] Implement content-size-based batching (#24871)
- **Title:** [PebbloSafeLoader] Implement content-size-based batching in
the classification flow(loader/doc API)
- **Description:** 
- Implemented content-size-based batching in the loader/doc API, set to
100KB with no external configuration option, intentionally hard-coded to
prevent timeouts.
    - Remove unused field(pb_id) from doc_metadata
- **Issue:** NA
- **Dependencies:** NA
- **Add tests and docs:** Updated
2 months ago
TrumanYan 096b66db4a
community: replace it with Tencent Cloud SDK (#24172)
Description: The old method will be discontinued; use the official SDK
for more model options.
Issue: None
Dependencies: None
Twitter handle: None

Co-authored-by: trumanyan <trumanyan@tencent.com>
2 months ago
Erick Friis 99eb31ec41
cli: embed docstring template (#24855) 2 months ago
Noah Peterson 4b2a8ce6c7
docs: Shorten unreasonably long OllamaEmbeddings page (#24850)
This change removes excessive embeddings output in the Jupyter Notebook
on the [Ollama text embedding
page](https://python.langchain.com/v0.2/docs/integrations/text_embedding/ollama/)
2 months ago
Erick Friis 3999e9035c
cli/docs: embedding template standardization (#24849) 2 months ago
Bagatur 1181c10c65
docs: reorder integrations sidebar (#24847) 2 months ago
Bagatur 943126c5fd
docs: chat model pkg links (#24845) 2 months ago
Erick Friis 1f5444817a
community: deprecate BedrockEmbeddings in favor of langchain-aws (#24846) 2 months ago
Jacob Lee 21eb4c9e5d
docs[patch]: Adds first kv store doc matching new template (#24844) 2 months ago
Bagatur a4e940550a
docs: integrations custom callout (#24843) 2 months ago
Bagatur 61ecb10a77
docs: partner pkg table (#24840) 2 months ago
Erick Friis b099cc3507
cli: release 0.0.27 (#24842) 2 months ago
Bagatur 419f2c2585
cli[patch]: tool integration templates (#24837)
Co-authored-by: Erick Friis <erick@langchain.dev>
2 months ago
mschoenb97IL 19b127f640
langchain: Update Langchain -> Langgraph migration docs for the deprecation of the `messages_modifier` parameter. (#24839)
**Description:** Updated the Langgraph migration docs to use
`state_modifier` rather than `messages_modifier`
**Issue:** N/A
**Dependencies:** N/A

- [ 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: Chester Curme <chester.curme@gmail.com>
2 months ago
ccurme c123cb2b30
docs: update migration guide (#24835)
Move to its own section in the sidebar.
2 months ago
Erick Friis 957b05b8d5
infra: py3.11 for community integration test compiling (#24834)
e.g.
https://github.com/langchain-ai/langchain/actions/runs/10167754785/job/28120861343?pr=24833
2 months ago
Erick Friis 88418af3f5
core: release 0.2.25 (#24833) 2 months ago
Bagatur 37b060112a
langchain[patch]: fix ollama in init_chat_model (#24832) 2 months ago
Jerron Lim d8f3ea82db
langchain[patch]: init_chat_model() to import ChatOllama from langchain-ollama and fallback on langchain-community (#24821)
Description: init_chat_model() should import ChatOllama from
`langchain-ollama`. If that fails, fallback to `langchain-community`
2 months ago
Eugene Yurtsev 3a7f3d46c3
docs: Add pydantic compatibility to side bar (#24826)
Add pydantic compatibility to side bar
2 months ago
Isaac Francisco 511242280b
[docs]: standardize vectorstores (#24797) 2 months ago
Jacob Lee ac649800df
docs[patch]: Adds kv store integration docs template (#24804) 2 months ago
cffranco94 b01d938997
experimental: Add config to convert_to_graph_documents (#24012)
PR title: Experimental: Add config to convert_to_graph_documents

Description: In order to use langfuse, i need to pass the langfuse
configuration when invoking the chain. langchain_experimental does not
allow to add any parameters (beside the documents) to the
convert_to_graph_documents method. This way, I cannot monitor the chain
in langfuse.

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

---------

Co-authored-by: Catarina Franco <catarina.franco@criticalsoftware.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2 months ago
Shailendra Mishra f2d810b3c0
clob_bugfix... (#24813)
Thank you for contributing to LangChain!

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


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


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


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

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

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
2 months ago
Anush 51b15448cc
community: Fix FastEmbedEmbeddings (#24462)
## Description

This PR:
- Fixes the validation error in `FastEmbedEmbeddings`.
- Adds support for `batch_size`, `parallel` params.
- Removes support for very old FastEmbed versions.
- Updates the FastEmbed doc with the new params.

Associated Issues:
- Resolves #24039
- Resolves #https://github.com/qdrant/fastembed/issues/296
2 months ago
ccurme 73ec24fc56
docs[patch]: add toolkit template (#24791) 2 months ago
Tamir Zitman b3e1378f2b
langchain : text_splitters Added PowerShell (#24582)
- **Description:** Added PowerShell support for text splitters language
include docs relevant update
  - **Issue:** None
  - **Dependencies:** None

---------

Co-authored-by: tzitman <tamir.zitman@intel.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2 months ago
ccurme 187ee96f7a
docs: update chat model feature table (#24822) 2 months ago
Nuno Campos 68ecebf1ec
core: Fix implementation of trim_first_node/trim_last_node to use exact same definition of first/last node as in the getter methods (#24802) 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
David Robertson bfb7f8d40a
Brave Search: Enhance search result details with extra snippets (#19209)
**Description:** 

This update significantly improves the Brave Search Tool's utility
within the LangChain library by enriching the search results it returns.
The tool previously returned title, link, and snippet, with the snippet
being a truncated 140-character description from the search engine. To
make the search results more informative, this update enables
extra_snippets by default and introduces additional result fields:
title, link, description (enhancing and renaming the former snippet
field), age, and snippets. The snippets field provides a list of strings
summarizing the webpage, utilizing Brave's capability for more detailed
search insights. This enhancement aims to make the search tool far more
informative and beneficial for users.

**Issue:** N/A

**Dependencies:** No additional dependencies introduced.

**Twitter handle:** @davidalexr987

**Code Changes Summary:**

- Changed the default setting to include extra_snippets in search
results.
- Renamed the snippet field to description to accurately reflect its
content and included an age field for search results.
- Introduced a snippets field that lists webpage summaries, providing
users with comprehensive search result insights.

**Backward Compatibility Note:**

The renaming of snippet to description improves the accuracy of the
returned data field but may impact existing users who have developed
integration's or analyses based on the snippet field. I believe this
change is essential for clarity and utility, and it aligns better with
the data provided by Brave Search.

**Additional Notes:**

This proposal focuses exclusively on the Brave Search package, without
affecting other LangChain packages or introducing new dependencies.
2 months ago
Eugene Yurtsev 873f64751e
docs: Remove danger on how to migrate to astream events v2 (#24825)
Users should migrate to v2 now
2 months ago