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348 Commits

Author SHA1 Message Date
Sydney Runkle
7e926520d5
packaging: remove Python upper bound for langchain and co libs (#31025)
Follow up to https://github.com/langchain-ai/langsmith-sdk/pull/1696,
I've bumped the `langsmith` version where applicable in `uv.lock`.

Type checking problems here because deps have been updated in
`pyproject.toml` and `uv lock` hasn't been run - we should enforce that
in the future - goes with the other dependabot todos :).
2025-04-28 14:44:28 -04:00
Sydney Runkle
d614842d23
ci: temporarily run chroma on 3.12 for CI (#31056)
Waiting on a fix for https://github.com/chroma-core/chroma/issues/4382
2025-04-28 13:20:37 -04:00
Michael Li
ff1602f0fd
docs: replace initialize_agent with create_react_agent in bash.ipynb (part of #29277) (#31042)
Thank you for contributing to LangChain!

- [x] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs 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, eyurtsev, ccurme, vbarda, hwchase17.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-28 13:07:22 -04:00
Christophe Bornet
aee7988a94
community: add mypy warn_unused_ignores rule (#30816) 2025-04-28 11:54:12 -04:00
Bae-ChangHyun
a2863f8757
community: add 'get_col_comments' option for retrieve database columns comments (#30646)
## Description
Added support for retrieving column comments in the SQL Database
utility. This feature allows users to see comments associated with
database columns when querying table information. Column comments
provide valuable metadata that helps LLMs better understand the
semantics and purpose of database columns.

A new optional parameter `get_col_comments` was added to the
`get_table_info` method, defaulting to `False` for backward
compatibility. When set to `True`, it retrieves and formats column
comments for each table.

Currently, this feature is supported on PostgreSQL, MySQL, and Oracle
databases.

## Implementation
You should create Table with column comments before.

```python
db = SQLDatabase.from_uri("YOUR_DB_URI")
print(db.get_table_info(get_col_comments=True)) 
```
## Result
```
CREATE TABLE test_table (
	name VARCHAR
        school VARCHAR)
/*
Column Comments: {'name': person name, 'school":school_name}
*/

/*
3 rows from test_table:
name
a
b
c
*/
```

## Benefits
1. Enhances LLM's understanding of database schema semantics
2. Preserves valuable domain knowledge embedded in database design
3. Improves accuracy of SQL query generation
4. Provides more context for data interpretation

Tests are available in
`langchain/libs/community/tests/test_sql_get_table_info.py`.

---------

Co-authored-by: chbae <chbae@gcsc.co.kr>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-28 15:19:46 +00:00
yberber-sap
3fb0a55122
Deprecate HanaDB, HanaTranslator and update example notebook to use new implementation (#30896)
- **Description:**  
This PR marks the `HanaDB` vector store (and related utilities) in
`langchain_community` as deprecated using the `@deprecated` annotation.
  - Set `since="0.1.0"` and `removal="1.0"`  
- Added a clear migration path and a link to the SAP-maintained
replacement in the
[`langchain_hana`](https://github.com/SAP/langchain-integration-for-sap-hana-cloud)
package.
Additionally, the example notebook has been updated to use the new
`HanaDB` class from `langchain_hana`, ensuring users follow the
recommended integration moving forward.

- **Issue:** None 

- **Dependencies:**  None

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-27 16:37:35 -04:00
湛露先生
5fb8fd863a
langchain_openai: clean duplicate code for openai embedding. (#30872)
The `_chunk_size` has not changed by method `self._tokenize`, So i think
these is duplicate code.

Signed-off-by: zhanluxianshen <zhanluxianshen@163.com>
2025-04-27 15:07:41 -04:00
Philipp Schmid
79a537d308
Update Chat and Embedding guides (#31017)
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-27 18:06:59 +00:00
ccurme
ba2518995d
standard-tests: add condition for image tool message test (#31041)
Require support for [standard
format](https://python.langchain.com/docs/how_to/multimodal_inputs/).
2025-04-27 17:24:43 +00:00
ccurme
04a899ebe3
infra: support third-party integration packages in API ref build (#31021) 2025-04-25 16:02:27 -04:00
Stefano Lottini
a82d987f09
docs: Astra DB, replace leftover links to "community" legacy package + modernize doc loader signature (#30969)
This PR brings some much-needed updates to some of the Astra DB shorter
example notebooks,

- ensuring imports are from the partner package instead of the
(deprecated) community legacy package
- improving the wording in a few related places
- updating the constructor signature introduced with the latest partner
package's AstraDBLoader
- marking the community package counterpart of the LLM caches as
deprecated in the summary table at the end of the page.
2025-04-25 15:45:24 -04:00
ccurme
a60fd06784
docs: document OpenAI flex processing (#31023)
Following https://github.com/langchain-ai/langchain/pull/31005
2025-04-25 15:10:25 -04:00
ccurme
629b7a5a43
openai[patch]: add explicit attribute for service tier (#31005) 2025-04-25 18:38:23 +00:00
ccurme
ab871a7b39
docs: enable milvus in API ref build (#31016)
Reverts langchain-ai/langchain#30996

Should be fixed following
https://github.com/langchain-ai/langchain-milvus/pull/68
2025-04-25 12:48:10 +00:00
Georgi Stefanov
d30c56a8c1
langchain: return attachments in _get_response (#30853)
This is a PR to return the message attachments in _get_response, as when
files are generated these attachments are not returned thus generated
files cannot be retrieved

Fixes issue: https://github.com/langchain-ai/langchain/issues/30851
2025-04-24 21:39:11 -04:00
Abderrahmane Gourragui
09c1991e96
docs: update document examples (#31006)
## Description:

As I was following the docs I found a couple of small issues on the
docs.

this fixes some unused imports on the [extraction
page](https://python.langchain.com/docs/tutorials/extraction/#the-extractor)
and updates the examples on [classification
page](https://python.langchain.com/docs/tutorials/classification/#quickstart)
to be independent from the chat model.
2025-04-24 18:07:55 -04:00
ccurme
a7903280dd
openai[patch]: delete redundant tests (#31004)
These are covered by standard tests.
2025-04-24 17:56:32 +00:00
Kyle Jeong
d0f0d1f966
[docs/community]: langchain docs + browserbaseloader fix (#30973)
Thank you for contributing to LangChain!

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

community: fix browserbase integration
docs: update docs

- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** Updated BrowserbaseLoader to use the new python sdk.
    - **Issue:** update browserbase integration with langchain
    - **Dependencies:** n/a
    - **Twitter handle:** @kylejeong21

- [ ] **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/
2025-04-24 13:38:49 -04:00
ccurme
403fae8eec
core: release 0.3.56 (#31000) 2025-04-24 13:22:31 -04:00
Jacob Lee
d6b50ad3f6
docs: Update Google Analytics tag in docs (#31001) 2025-04-24 10:19:10 -07:00
ccurme
10a9c24dae
openai: fix streaming reasoning without summaries (#30999)
Following https://github.com/langchain-ai/langchain/pull/30909: need to
retain "empty" reasoning output when streaming, e.g.,
```python
{'id': 'rs_...', 'summary': [], 'type': 'reasoning'}
```
Tested by existing integration tests, which are currently failing.
2025-04-24 16:01:45 +00:00
ccurme
8fc7a723b9
core: release 0.3.56rc1 (#30998) 2025-04-24 15:09:44 +00:00
ccurme
f4863f82e2
core[patch]: fix edge cases for _is_openai_data_block (#30997) 2025-04-24 10:48:52 -04:00
Philipp Schmid
ae4b6380d9
Documentation: Add Google Gemini dropdown (#30995)
This PR adds Google Gemini (via AI Studio and Gemini API). Feel free to
change the ordering, if needed.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-24 10:00:16 -04:00
Philipp Schmid
ffbc64c72a
Documentation: Improve structure of Google integrations page (#30992)
This PR restructures the main Google integrations documentation page
(`docs/docs/integrations/providers/google.mdx`) for better clarity and
updates content.

**Key changes:**

* **Separated Sections:** Divided integrations into distinct `Google
Generative AI (Gemini API & AI Studio)`, `Google Cloud`, and `Other
Google Products` sections.
* **Updated Generative AI:** Refreshed the introduction and the `Google
Generative AI` section with current information and quickstart examples
for the Gemini API via `langchain-google-genai`.
* **Reorganized Content:** Moved non-Cloud Platform specific
integrations (e.g., Drive, GMail, Search tools, ScaNN) to the `Other
Google Products` section.
* **Cleaned Up:** Minor improvements to descriptions and code snippets.

This aims to make it easier for users to find the relevant Google
integrations based on whether they are using the Gemini API directly or
Google Cloud services.

| Before                | After      |
|-----------------------|------------|
| ![Screenshot 2025-04-24 at 14 56
23](https://github.com/user-attachments/assets/ff967ec8-a833-4e8f-8015-61af8a4fac8b)
| ![Screenshot 2025-04-24 at 14 56
15](https://github.com/user-attachments/assets/179163f1-e805-484a-bbf6-99f05e117b36)
|

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-24 09:58:46 -04:00
Jacob Lee
6b0b317cb5
feat(core): Autogenerate filenames for when converting file content blocks to OpenAI format (#30984)
CC @ccurme

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-24 13:36:31 +00:00
ccurme
21962e2201
docs: temporarily disable milvus in API ref build (#30996) 2025-04-24 09:31:23 -04:00
Behrad Hemati
1eb0bdadfa
community: add indexname to other functions in opensearch (#30987)
- [x] **PR title**: "community: add indexname to other functions in
opensearch"



- [x] **PR message**:
- **Description:** add ability to over-ride index-name if provided in
the kwargs of sub-functions. When used in WSGI application it's crucial
to be able to dynamically change parameters.


- [ ] **Add tests and 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/
2025-04-24 08:59:33 -04:00
Nicky Parseghian
7ecdac5240
community: Strip URLs from sitemap. (#30830)
Fixes #30829

- **Description:** Simply strips the loc value when building the
element.
    - **Issue:** Fixes #30829
2025-04-23 18:18:42 -04:00
ccurme
faef3e5d50
core, standard-tests: support PDF and audio input in Chat Completions format (#30979)
Chat models currently implement support for:
- images in OpenAI Chat Completions format
- other multimodal types (e.g., PDF and audio) in a cross-provider
[standard
format](https://python.langchain.com/docs/how_to/multimodal_inputs/)

Here we update core to extend support to PDF and audio input in Chat
Completions format. **If an OAI-format PDF or audio content block is
passed into any chat model, it will be transformed to the LangChain
standard format**. We assume that any chat model supporting OAI-format
PDF or audio has implemented support for the standard format.
2025-04-23 18:32:51 +00:00
Bagatur
d4fc734250
core[patch]: update dict prompt template (#30967)
Align with JS changes made in
https://github.com/langchain-ai/langchainjs/pull/8043
2025-04-23 10:04:50 -07:00
ccurme
4bc70766b5
core, openai: support standard multi-modal blocks in convert_to_openai_messages (#30968) 2025-04-23 11:20:44 -04:00
ccurme
e4877e5ef1
fireworks: release 0.3.0 (#30977) 2025-04-23 10:08:38 -04:00
Christophe Bornet
8c5ae108dd
text-splitters: Set strict mypy rules (#30900)
* Add strict mypy rules
* Fix mypy violations
* Add error codes to all type ignores
* Add ruff rule PGH003
* Bump mypy version to 1.15
2025-04-22 20:41:24 -07:00
ccurme
eedda164c6
fireworks[minor]: remove default model and temperature (#30965)
`mixtral-8x-7b-instruct` was recently retired from Fireworks Serverless.

Here we remove the default model altogether, so that the model must be
explicitly specified on init:
```python
ChatFireworks(model="accounts/fireworks/models/llama-v3p1-70b-instruct")  # for example
```

We also set a null default for `temperature`, which previously defaulted
to 0.0. This parameter will no longer be included in request payloads
unless it is explicitly provided.
2025-04-22 15:58:58 -04:00
Grant
4be55f7c89
docs: fix typo at 175 (#30966)
**Description:** Corrected pre-buit to pre-built.
**Issue:** Little typo.
2025-04-22 18:13:07 +00:00
CLOVA Studio 개발
577cb53a00
community: update Naver integration to use langchain-naver package and improve documentation (#30956)
## **Description:** 
This PR was requested after the `langchain-naver` partner-managed
packages were completed.
We build our package as requested in [this
comment](https://github.com/langchain-ai/langchain/pull/29243#issuecomment-2595222791)
and the initial version is now uploaded to
[pypi](https://pypi.org/project/langchain-naver/).
So we've updated some our documents with the additional changed features
and how to download our partner-managed package.

## **Dependencies:** 

https://github.com/langchain-ai/langchain/pull/29243#issuecomment-2595222791

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2025-04-22 12:00:10 -04:00
ccurme
a7c1bccd6a
openai[patch]: remove xfails from image token counting tests (#30963)
These appear to be passing again.
2025-04-22 15:55:33 +00:00
ccurme
25d77aa8b4
community: release 0.3.22 (#30962) 2025-04-22 15:34:47 +00:00
ccurme
59fd4cb4c0
docs: update package registry sort order (#30960) 2025-04-22 15:27:32 +00:00
ccurme
b8c454b42b
langchain: release 0.3.24 (#30959) 2025-04-22 11:23:34 -04:00
Dmitrii Rashchenko
a43df006de
Support of openai reasoning summary streaming (#30909)
**langchain_openai: Support of reasoning summary streaming**

**Description:**
OpenAI API now supports streaming reasoning summaries for reasoning
models (o1, o3, o3-mini, o4-mini). More info about it:
https://platform.openai.com/docs/guides/reasoning#reasoning-summaries

It is supported only in Responses API (not Completion API), so you need
to create LangChain Open AI model as follows to support reasoning
summaries streaming:

```
llm = ChatOpenAI(
    model="o4-mini", # also o1, o3, o3-mini support reasoning streaming
    use_responses_api=True,  # reasoning streaming works only with responses api, not completion api
    model_kwargs={
        "reasoning": {
            "effort": "high",  # also "low" and "medium" supported
            "summary": "auto"  # some models support "concise" summary, some "detailed", but auto will always work
        }
    }
)
```

Now, if you stream events from llm:

```
async for event in llm.astream_events(prompt, version="v2"):
    print(event)
```

or

```
for chunk in llm.stream(prompt):
    print (chunk)
```

OpenAI API will send you new types of events:
`response.reasoning_summary_text.added`
`response.reasoning_summary_text.delta`
`response.reasoning_summary_text.done`

These events are new, so they were ignored. So I have added support of
these events in function `_convert_responses_chunk_to_generation_chunk`,
so reasoning chunks or full reasoning added to the chunk
additional_kwargs.

Example of how this reasoning summary may be printed:

```
    async for event in llm.astream_events(prompt, version="v2"):
        if event["event"] == "on_chat_model_stream":
            chunk: AIMessageChunk = event["data"]["chunk"]
            if "reasoning_summary_chunk" in chunk.additional_kwargs:
                print(chunk.additional_kwargs["reasoning_summary_chunk"], end="")
            elif "reasoning_summary" in chunk.additional_kwargs:
                print("\n\nFull reasoning step summary:", chunk.additional_kwargs["reasoning_summary"])
            elif chunk.content and chunk.content[0]["type"] == "text":
                print(chunk.content[0]["text"], end="")
```

or

```
    for chunk in llm.stream(prompt):
        if "reasoning_summary_chunk" in chunk.additional_kwargs:
            print(chunk.additional_kwargs["reasoning_summary_chunk"], end="")
        elif "reasoning_summary" in chunk.additional_kwargs:
            print("\n\nFull reasoning step summary:", chunk.additional_kwargs["reasoning_summary"])
        elif chunk.content and chunk.content[0]["type"] == "text":
            print(chunk.content[0]["text"], end="")
```

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-22 14:51:13 +00:00
Alexander Ng
0f6fa34372
Community: Valyu Integration docs (#30926)
PR title:
docs: add Valyu integration documentation
Description:
This PR adds documentation and example notebooks for the Valyu
integration, including retriever and tool usage.
Issue:
N/A
Dependencies:
No new dependencies.

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2025-04-21 17:43:00 -04:00
Jacob Mansdorfer
e8a84b05a4
Community: Adding tool calling and some new parameters to the langchain-predictionguard docs. (#30953)
- [x] **PR message**: 
- **Description:** Updates the documentation for the
langchain-predictionguard package, adding tool calling functionality and
some new parameters.
2025-04-21 17:01:57 -04:00
ccurme
8574442c57
core[patch]: release 0.3.55 (#30952) 2025-04-21 17:56:24 +00:00
ccurme
920d504e47
fireworks[patch]: update model in LLM integration tests (#30951)
`mixtral-8x7b-instruct` has been retired.
2025-04-21 17:53:27 +00:00
Anton Masalovich
1f3054502e
community: fix cost calculations for 4.1 and o4 in OpenAI callback (#30899)
**Issue:** #30898
2025-04-21 10:59:47 -04:00
Ahmed Tammaa
589bc19890
anthropic[patch]: make description optional on AnthropicTool (#30935)
PR Summary

This change adds a fallback in ChatAnthropic.with_structured_output() to
handle Pydantic models that don’t include a docstring. Without it,
calling:
```py
from pydantic import BaseModel
from langchain_anthropic import ChatAnthropic

class SampleModel(BaseModel):
    sample_field: str

llm = ChatAnthropic(
    model="claude-3-7-sonnet-latest"
).with_structured_output(SampleModel.model_json_schema())

llm.invoke("test")
```
will raise a
```
KeyError: 'description'
```
because Pydantic omits the description field when no docstring is
present.

This issue doesn’t occur when using ChatOpenAI or if you add a docstring
to the model:
```py
from pydantic import BaseModel
from langchain_openai import ChatOpenAI

class SampleModel(BaseModel):
    """Schema for sample_field output."""
    sample_field: str

llm = ChatOpenAI(
    model="gpt-4o-mini"
).with_structured_output(SampleModel.model_json_schema())

llm.invoke("test")
```

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-21 10:44:39 -04:00
Nuno Campos
27296bdb0c
core: Make Graph.Node.data optional (#30943)
Thank you for contributing to LangChain!

- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs 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, eyurtsev, ccurme, vbarda, hwchase17.
2025-04-21 07:18:36 -07:00
Pushpa Kumar
0e9d0dbc10
docs: dynamic copyright year in API ref (#30944)
- [x] **PR title:**  
`docs: make footer year dynamic in API reference docs`

- [x] **PR message:**

  - **Description:**  
Update `docs/api_reference/conf.py` to make the copyright year dynamic
(on
[https://python.langchain.com/api_reference/](https://python.langchain.com/api_reference/)).

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-21 14:10:14 +00:00
Ahmed Tammaa
de56c31672
core: Improve OutputParser error messaging when model output is truncated (max_tokens) (#30936)
Addresses #30158
When using the output parser—either in a chain or standalone—hitting
max_tokens triggers a misleading “missing variable” error instead of
indicating the output was truncated. This subtle bug often surfaces with
Anthropic models.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-21 10:06:18 -04:00
xsai9101
335f089d6a
Community: Add bind variable support for oracle adb docloader (#30937)
PR title:
Community: Add bind variable support for oracle adb docloader
Description:
This PR adds support of using bind variable to oracle adb doc loader
class, including minor document change.
Issue:
N/A
Dependencies:
No new dependencies.
2025-04-21 08:47:33 -04:00
Ikko Eltociear Ashimine
9418c0d8a5
docs: update tableau.ipynb (#30938)
Initalize -> Initialize
2025-04-21 08:43:29 -04:00
Aubrey Ford
23f701b08e
langchain_community: OpenAIEmbeddings not respecting chunk_size argument (#30946)
This is a follow-on PR to go with the identical changes that were made
in parters/openai.

Previous PR:  https://github.com/langchain-ai/langchain/pull/30757

When calling embed_documents and providing a chunk_size argument, that
argument is ignored when OpenAIEmbeddings is instantiated with its
default configuration (where check_embedding_ctx_length=True).

_get_len_safe_embeddings specifies a chunk_size parameter but it's not
being passed through in embed_documents, which is its only caller. This
appears to be an oversight, especially given that the
_get_len_safe_embeddings docstring states it should respect "the set
embedding context length and chunk size."

Developers typically expect method parameters to take effect (also, take
precedence) when explicitly provided, especially when instantiating
using defaults. I was confused as to why my API calls were being
rejected regardless of the chunk size I provided.
2025-04-21 08:39:07 -04:00
Aubrey Ford
b344f34635
partners/openai: OpenAIEmbeddings not respecting chunk_size argument (#30757)
When calling `embed_documents` and providing a `chunk_size` argument,
that argument is ignored when `OpenAIEmbeddings` is instantiated with
its default configuration (where `check_embedding_ctx_length=True`).

`_get_len_safe_embeddings` specifies a `chunk_size` parameter but it's
not being passed through in `embed_documents`, which is its only caller.
This appears to be an oversight, especially given that the
`_get_len_safe_embeddings` docstring states it should respect "the set
embedding context length and chunk size."

Developers typically expect method parameters to take effect (also, take
precedence) when explicitly provided, especially when instantiating
using defaults. I was confused as to why my API calls were being
rejected regardless of the chunk size I provided.

This bug also exists in langchain_community package. I can add that to
this PR if requested otherwise I will create a new one once this passes.
2025-04-18 15:27:27 -04:00
Konsti-s
017c8079e1
partners: ChatAnthropic supports urls (#30809)
**Description:**
partners-anthropic: ChatAnthropic supports b64 and urls in the
part[image_url][url] message variable

**Issue**:
ChatAnthropic right now only supports b64 encoded images in the
part[image_url][url] message variable. This PR enables ChatAnthropic to
also accept image urls in said variable and makes it compatible with
OpenAI messages to make model switching easier.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-18 15:15:45 -04:00
Volodymyr Tkachuk
d0cd115356
community: Add deprecation decorator to SingleStore community integrations (#30846)
SingleStore integration now has its package `langchain-singlestore', so
the community implementation will no longer be maintained.

Added `deprecated` decorator to `SingleStoreDBChatMessageHistory`,
`SingleStoreDBSemanticCache`, and `SingleStoreDB` classes in the
community package.

**Dependencies:** https://github.com/langchain-ai/langchain/pull/30841

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2025-04-18 12:58:39 -04:00
Alejandro Rodríguez
34ddfba76b
community: support usage_metadata for litellm streaming calls (#30683)
Support "usage_metadata" for LiteLLM streaming calls.

This is a follow-up to
https://github.com/langchain-ai/langchain/pull/30625, which tackled
non-streaming calls.

If no one reviews your PR within a few days, please @-mention one of
baskaryan, eyurtsev, ccurme, vbarda, hwchase17.
2025-04-18 12:50:32 -04:00
Volodymyr Tkachuk
5ffcd01c41
docs: Register langchain-singlestore integration (#30841)
I created and published `langchain-singlestoe` integration package that
should replace SingleStoreDB community implementation.
2025-04-18 12:11:33 -04:00
ccurme
096f0e5966
core[patch]: de-beta usage callback (#30928) 2025-04-18 15:45:09 +00:00
ccurme
46de0866db
infra: add langchain-google-genai to monorepo test deps and update notebook cassettes (#30925)
Following https://github.com/langchain-ai/langchain/pull/30880
2025-04-18 11:16:12 -04:00
Behrad Hemati
d624a475e4
community: change metadata in opensearch mmr (#30921)
- [ ] **PR message**:
- **Description:** including metadata_field in
max_marginal_relevance_search() would result in error, changed the logic
to be similar to how it's handled in similarity_search, where it can be
any field or simply a "*" to include every field
2025-04-18 10:10:23 -04:00
rylativity
dbf9986d44
langchain-ollama (partners) / langchain-core: allow passing ChatMessages to Ollama (including arbitrary roles) (#30411)
Replacement for PR #30191 (@ccurme)

**Description**: currently, ChatOllama [will raise a value error if a
ChatMessage is passed to
it](https://github.com/langchain-ai/langchain/blob/master/libs/partners/ollama/langchain_ollama/chat_models.py#L514),
as described
https://github.com/langchain-ai/langchain/pull/30147#issuecomment-2708932481.

Furthermore, ollama-python is removing the limitations on valid roles
that can be passed through chat messages to a model in ollama -
https://github.com/ollama/ollama-python/pull/462#event-16917810634.

This PR removes the role limitations imposed by langchain and enables
passing langchain ChatMessages with arbitrary 'role' values through the
langchain ChatOllama class to the underlying ollama-python Client.

As this PR relies on [merged but unreleased functionality in
ollama-python](
https://github.com/ollama/ollama-python/pull/462#event-16917810634), I
have temporarily pointed the ollama package source to the main branch of
the ollama-python github repo.

Format, lint, and tests of new functionality passing. Need to resolve
issue with recently added ChatOllama tests. (Now resolved)

**Issue**: resolves #30122 (related to ollama issue
https://github.com/ollama/ollama/issues/8955)

**Dependencies**: no new dependencies

[x] PR title
[x] PR message
[x] Lint and test: format, lint, and test all running successfully and
passing

---------

Co-authored-by: Ryan Stewart <ryanstewart@Ryans-MacBook-Pro.local>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-18 10:07:07 -04:00
Christophe Bornet
0c723af4b0
langchain[lint]: fix mypy type ignores (#30894)
* Remove unused ignores
* Add type ignore codes
* Add mypy rule `warn_unused_ignores`
* Add ruff rule PGH003

NB: some `type: ignore[unused-ignore]` are added because the ignores are
needed when `extended_testing_deps.txt` deps are installed.
2025-04-17 17:54:34 -04:00
ccurme
f14bcee525
docs: update multi-modal docs (#30880)
Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com>
2025-04-17 16:03:05 -04:00
Sydney Runkle
98c357b3d7
core: release 0.3.54 (#30911) 2025-04-17 14:27:06 -04:00
Vadym Barda
d2cbfa379f
core[patch]: add retries and better messages to draw_mermaid_png (#30881) 2025-04-17 18:25:37 +00:00
Sydney Runkle
75e50a3efd
core[patch]: Raise AttributeError (instead of ModuleNotFoundError) in custom __getattr__ (#30905)
Follow up to https://github.com/langchain-ai/langchain/pull/30769,
fixing the regression reported
[here](https://github.com/langchain-ai/langchain/pull/30769#issuecomment-2807483610),
thanks @krassowski for the report!

Fix inspired by https://github.com/PrefectHQ/prefect/pull/16172/files

Other changes:
* Using tuples for `__all__`, except in `output_parsers` bc of a list
namespace conflict
* Using a helper function for imports due to repeated logic across
`__init__.py` files becoming hard to maintain.

Co-authored-by: Michał Krassowski < krassowski 5832902+krassowski@users.noreply.github.com>"
2025-04-17 14:15:28 -04:00
ccurme
61d2dc011e
openai: release 0.3.14 (#30908) 2025-04-17 10:49:14 -04:00
ccurme
f0f90c4d88
anthropic: release 0.3.12 (#30907) 2025-04-17 14:45:12 +00:00
ccurme
f01b89df56
standard-tests: release 0.3.19 (#30906) 2025-04-17 10:37:44 -04:00
ccurme
add6a78f98
standard-tests, openai[patch]: add support standard audio inputs (#30904) 2025-04-17 10:30:57 -04:00
ccurme
2c2db1ab69
core: release 0.3.53 (#30901) 2025-04-17 13:10:32 +00:00
ccurme
86d51f6be6
multiple: permit optional fields on multimodal content blocks (#30887)
Instead of stuffing provider-specific fields in `metadata`, they can go
directly on the content block.
2025-04-17 12:48:46 +00:00
湛露先生
83b66cb916
doc: clean doc word description. (#30895)
Signed-off-by: zhanluxianshen <zhanluxianshen@163.com>
2025-04-17 08:04:37 -04:00
湛露先生
ff2930c119
partners: bug fix check_imports.py exit code. (#30897)
Signed-off-by: zhanluxianshen <zhanluxianshen@163.com>
2025-04-17 08:02:23 -04:00
ccurme
b36c2bf833
docs: update Bedrock chat model page (#30883)
- document prompt caching
- feature ChatBedrockConverse throughout
2025-04-16 16:55:14 -04:00
ccurme
9e82f1df4e
docs: minor clean up in ChatOpenAI docs (#30884) 2025-04-16 16:08:43 -04:00
ccurme
fa362189a1
docs: document OpenAI reasoning summaries (#30882) 2025-04-16 19:21:14 +00:00
Sydney Runkle
88fce67724
core: Removing unnecessary pydantic core schema rebuilds (#30848)
We only need to rebuild model schemas if type annotation information
isn't available during declaration - that shouldn't be the case for
these types corrected here.

Need to do more thorough testing to make sure these structures have
complete schemas, but hopefully this boosts startup / import time.
2025-04-16 12:00:08 -04:00
rrozanski-smabbler
60d8ade078
Galaxia integration (#30792)
- [ ] **PR title**: "docs: adding Smabbler's Galaxia integration"

- [ ] **PR message**:  **Twitter handle:** @Galaxia_graph

I'm adding docs here + added the package to the packages.yml. I didn't
add a unit test, because this integration is just a thin wrapper on top
of our API. There isn't much left to test if you mock it away.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-16 10:39:04 -04:00
ccurme
ca39680d2a
ollama: release 0.3.2 (#30865) 2025-04-16 09:14:57 -04:00
Sydney Runkle
4af3f89a3a
docs: enforce newlines when signature exceeds char threshold (#30866)
Below is an example of the single line vs new multiline approach.

Before this PR:

<img width="831" alt="Screenshot 2025-04-15 at 8 56 26 PM"
src="https://github.com/user-attachments/assets/0c0277bd-2441-4b22-a536-e16984fd91b7"
/>

After this PR:

<img width="829" alt="Screenshot 2025-04-15 at 8 56 13 PM"
src="https://github.com/user-attachments/assets/e16bfe38-bb17-48ba-a642-e8ff6b48e841"
/>
2025-04-16 08:45:40 -04:00
milosz-l
4ff576e37d
langchain: infer Perplexity provider for sonar model prefix (#30861)
**Description:** This PR adds provider inference logic to
`init_chat_model` for Perplexity models that use the "sonar..." prefix
(`sonar`, `sonar-pro`, `sonar-reasoning`, `sonar-reasoning-pro` or
`sonar-deep-research`).

This allows users to initialize these models by simply passing the model
name, without needing to explicitly set `model_provider="perplexity"`.

The docstring for `init_chat_model` has also been updated to reflect
this new inference rule.
2025-04-15 18:17:21 -04:00
ccurme
085baef926
ollama[patch]: support standard image format (#30864)
Following https://github.com/langchain-ai/langchain/pull/30746
2025-04-15 22:14:50 +00:00
ccurme
47ded80b64
ollama[patch]: fix generation info (#30863)
https://github.com/langchain-ai/langchain/pull/30778 (not released)
broke all invocation modes of ChatOllama (intent was to remove
`"message"` from `generation_info`, but we turned `generation_info` into
`stream_resp["message"]`), resulting in validation errors.
2025-04-15 19:22:58 +00:00
Sydney Runkle
cf2697ec53
chroma: release 0.2.3 (#30860) 2025-04-15 14:11:23 -04:00
ccurme
8e9569cbc8
perplexity: release 0.1.1 (#30859) 2025-04-15 18:02:15 +00:00
ccurme
dd5f5902e3
openai: release 0.3.13 (#30858) 2025-04-15 17:58:12 +00:00
ccurme
3382ee8f57
anthropic: release 0.3.11 (#30857) 2025-04-15 17:57:00 +00:00
Sydney Runkle
ef5aff3b6c
core[fix]: Fix __dir__ in __init__.py for output_parsers module (#30856)
We have a `list.py` file which causes a namespace conflict with `list`
from stdlib, unfortunately.

`__all__` is already a list, so no need to coerce.
2025-04-15 13:09:13 -04:00
Christophe Bornet
a4ca1fe0ed
core: Remove some noqa (#30855) 2025-04-15 13:08:40 -04:00
ccurme
6baf5c05a6
standard-tests: release 0.3.18 (#30854) 2025-04-15 16:56:54 +00:00
ccurme
c6a8663afb
infra: run old standard-tests on core releases (#30852)
On core releases, we check out the latest published package for
langchain-openai and langchain-anthropic and run their tests against the
candidate version of langchain-core.

Because these packages have a local install of langchain-tests, we also
need to check out the previous version of langchain-tests.
2025-04-15 16:04:08 +00:00
Sydney Runkle
1f5e207379
core[fix]: remove load from dynamic imports dict (#30849) 2025-04-15 12:02:46 -04:00
ccurme
7240458619
core: release 0.3.52 (#30850) 2025-04-15 15:28:31 +00:00
Sydney Runkle
6aa5494a75
Fix from langchain_core.load.load import load import (#30843)
TL;DR: you can't optimize imports with a lazy `__getattr__` if there is
a namespace conflict with a module name and an attribute name. We should
avoid introducing conflicts like this in the future.

This PR fixes a bug introduced by my lazy imports PR:
https://github.com/langchain-ai/langchain/pull/30769.

In `langchain_core`, we have utilities for loading and dumping data.
Unfortunately, one of those utilities is a `load` function, located in
`langchain_core/load/load.py`. To make this function more visible, we
make it accessible at the top level `langchain_core.load` module via
importing the function in `langchain_core/load/__init__.py`.

So, either of these imports should work:

```py
from langchain_core.load import load
from langchain_core.load.load import load
```

As you can tell, this is already a bit confusing. You'd think that the
first import would produce the module `load`, but because of the
`__init__.py` shortcut, both produce the function `load`.

<details> More on why the lazy imports PR broke this support...

All was well, except when the absolute import was run first, see the
last snippet:

```
>>> from langchain_core.load import load
>>> load
<function load at 0x101c320c0>
```

```
>>> from langchain_core.load.load import load
>>> load
<function load at 0x1069360c0>
```

```
>>> from langchain_core.load import load
>>> load
<function load at 0x10692e0c0>
>>> from langchain_core.load.load import load
>>> load
<function load at 0x10692e0c0>
```

```
>>> from langchain_core.load.load import load
>>> load
<function load at 0x101e2e0c0>
>>> from langchain_core.load import load
>>> load
<module 'langchain_core.load.load' from '/Users/sydney_runkle/oss/langchain/libs/core/langchain_core/load/load.py'>
```

In this case, the function `load` wasn't stored in the globals cache for
the `langchain_core.load` module (by the lazy import logic), so Python
defers to a module import.

</details>

New `langchain` tongue twister 😜: we've created a problem for ourselves
because you have to load the load function from the load file in the
load module 😨.
2025-04-15 11:06:13 -04:00
Bagatur
7262de4217
core[patch]: dict chat prompt template support (#25674)
- Support passing dicts as templates to chat prompt template
- Support making *any* attribute on a message a runtime variable
- Significantly simpler than trying to update our existing prompt
template classes

```python
    template = ChatPromptTemplate(
        [
            {
                "role": "assistant",
                "content": [
                    {
                        "type": "text",
                        "text": "{text1}",
                        "cache_control": {"type": "ephemeral"},
                    },
                    {"type": "image_url", "image_url": {"path": "{local_image_path}"}},
                ],
                "name": "{name1}",
                "tool_calls": [
                    {
                        "name": "{tool_name1}",
                        "args": {"arg1": "{tool_arg1}"},
                        "id": "1",
                        "type": "tool_call",
                    }
                ],
            },
            {
                "role": "tool",
                "content": "{tool_content2}",
                "tool_call_id": "1",
                "name": "{tool_name1}",
            },
        ]
    )

```

will likely close #25514 if we like this idea and update to use this
logic

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-15 11:00:49 -04:00
ccurme
9cfe6bcacd
multiple: multi-modal content blocks (#30746)
Introduces standard content block format for images, audio, and files.

## Examples

Image from url:
```
{
    "type": "image",
    "source_type": "url",
    "url": "https://path.to.image.png",
}
```


Image, in-line data:
```
{
    "type": "image",
    "source_type": "base64",
    "data": "<base64 string>",
    "mime_type": "image/png",
}
```


PDF, in-line data:
```
{
    "type": "file",
    "source_type": "base64",
    "data": "<base64 string>",
    "mime_type": "application/pdf",
}
```


File from ID:
```
{
    "type": "file",
    "source_type": "id",
    "id": "file-abc123",
}
```


Plain-text file:
```
{
    "type": "file",
    "source_type": "text",
    "text": "foo bar",
}
```
2025-04-15 09:48:06 -04:00
湛露先生
09438857e8
docs: fix tools_human.ipynb url 404. (#30831)
Fix the 404 pages.

Signed-off-by: zhanluxianshen <zhanluxianshen@163.com>
2025-04-15 09:22:13 -04:00
Sydney Runkle
e3b6cddd5e
core: codspeed tweak to make sure it runs on master (#30845) 2025-04-15 13:03:44 +00:00
Sydney Runkle
59f2c9e737
Tinkering with CodSpeed (#30824)
Fix CI to trigger benchmarks on `run-codspeed-benchmarks` label addition

Reduce scope of async benchmark to save time on CI

Waiting to merge this PR until we figure out how to use walltime on
local runners.
2025-04-15 08:49:09 -04:00
William FH
ed5c4805f6
Consistent docstring indentation (#30834)
Should be 4 spaces instead of 3.
2025-04-14 19:04:35 -07:00
Joey Constantino
2282762528
docs: small Tableau docs update (#30827)
Description: small Tableau docs update
Issue: adds required environment variable
Dependencies: tableau-langchain

---------

Co-authored-by: Joe Constantino <joe.constantino@joecons-ltm6v86.internal.salesforce.com>
2025-04-14 15:34:54 -04:00
ccurme
f7c4965fb6
openai[patch]: update imports in test (#30828)
Quick fix to unblock CI, will need to address in core separately.
2025-04-14 19:33:38 +00:00
Sydney Runkle
edb6a23aea
core[lint]: fix issue with unused ignore in __init__.py files (#30825)
Fixing a race condition between
https://github.com/langchain-ai/langchain/pull/30769 and
https://github.com/langchain-ai/langchain/pull/30737
2025-04-14 17:57:00 +00:00
湛露先生
3a64c7195f
community: redis tool typos fix (#30811) 2025-04-14 09:01:36 -04:00
Sydney Runkle
4f69094b51
core[performance]: use custom __getattr__ in __init__.py files for lazy imports (#30769)
Most easily reviewed with the "hide whitespace" option toggled.

Seeing 10-50% speed ups in import time for common structures 🚀 

The general purpose of this PR is to lazily import structures within
`langchain_core.XXX_module.__init__.py` so that we're not eagerly
importing expensive dependencies (`pydantic`, `requests`, etc).

Analysis of flamegraphs generated with `importtime` motivated these
changes. For example, the one below demonstrates that importing
`HumanMessage` accidentally triggered imports for `importlib.metadata`,
`requests`, etc.

There's still much more to do on this front, and we can start digging
into our own internal code for optimizations now that we're less
concerned about external imports.

<img width="1210" alt="Screenshot 2025-04-11 at 1 10 54 PM"
src="https://github.com/user-attachments/assets/112a3fe7-24a9-4294-92c1-d5ae64df839e"
/>

I've tracked the improvements with some local benchmarks:

## `pytest-benchmark` results

| Name | Before (s) | After (s) | Delta (s) | % Change |

|-----------------------------|------------|-----------|-----------|----------|
| Document | 2.8683 | 1.2775 | -1.5908 | -55.46% |
| HumanMessage | 2.2358 | 1.1673 | -1.0685 | -47.79% |
| ChatPromptTemplate | 5.5235 | 2.9709 | -2.5526 | -46.22% |
| Runnable | 2.9423 | 1.7793 | -1.163 | -39.53% |
| InMemoryVectorStore | 3.1180 | 1.8417 | -1.2763 | -40.93% |
| RunnableLambda | 2.7385 | 1.8745 | -0.864 | -31.55% |
| tool | 5.1231 | 4.0771 | -1.046 | -20.42% |
| CallbackManager | 4.2263 | 3.4099 | -0.8164 | -19.32% |
| LangChainTracer | 3.8394 | 3.3101 | -0.5293 | -13.79% |
| BaseChatModel | 4.3317 | 3.8806 | -0.4511 | -10.41% |
| PydanticOutputParser | 3.2036 | 3.2995 | 0.0959 | 2.99% |
| InMemoryRateLimiter | 0.5311 | 0.5995 | 0.0684 | 12.88% |

Note the lack of change for `InMemoryRateLimiter` and
`PydanticOutputParser` is just random noise, I'm getting comparable
numbers locally.

## Local CodSpeed results

We're still working on configuring CodSpeed on CI. The local usage
produced similar results.
2025-04-14 08:57:54 -04:00
Christophe Bornet
ada740b5b9
community: Add ruff rule PGH003 (#30812)
See https://docs.astral.sh/ruff/rules/blanket-type-ignore/

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-14 02:32:13 +00:00
ccurme
f005988e31
community[patch]: fix cost calculations for o3 in OpenAI callback (#30807)
Resolves https://github.com/langchain-ai/langchain/issues/30795
2025-04-13 15:20:46 +00:00
BoyuHu
446361a0d3
docs: fix typo (#30800)
Thank you for contributing to LangChain!

- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs 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, eyurtsev, ccurme, vbarda, hwchase17.
2025-04-13 10:55:30 -04:00
Marina Gómez
afd457d8e1
perplexity[patch]: Fix #30767: Handle missing citations attribute in ChatPerplexity (#30805)
This PR fixes an issue where ChatPerplexity would raise an
AttributeError when the citations attribute was missing from the model
response (e.g., when using offline models like r1-1776).

The fix checks for the presence of citations, images, and
related_questions before attempting to access them, avoiding crashes in
models that don't provide these fields.

Tested locally with models that omit citations, and the fix works as
expected.
2025-04-13 09:24:05 -04:00
Christophe Bornet
42944f3499
core: Improve mypy config (#30737)
* Cleanup mypy config
* Add mypy `strict` rules except `disallow_any_generics`,
`warn_return_any` and `strict_equality` (TODO)
* Add mypy `strict_byte` rule
* Add mypy support for PEP702 `@deprecated` decorator
* Bump mypy version to 1.15

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-04-11 16:35:13 -04:00
mpb159753
bb2c2fd885
docs: Add openGauss vector store documentation (#30742)
Hey LangChain community! 👋 Excited to propose official documentation for
our new openGauss integration that brings powerful vector capabilities
to the stack!

### What's Inside 📦  
1. **Full Integration Guide**  
Introducing
[langchain-opengauss](https://pypi.org/project/langchain-opengauss/) on
PyPI - your new toolkit for:
   🔍 Native hybrid search (vectors + metadata)  
   🚀 Production-grade connection pooling  
   🧩 Automatic schema management  

2. **Rigorous Testing Passed**   
![Benchmark
Results](https://github.com/user-attachments/assets/ae3b21f7-aeea-4ae7-a142-f2aec57936a0)
   - 100% non-async test coverage  

ps: Current implementation resides in my personal repository:
https://github.com/mpb159753/langchain-opengauss, How can I transfer
process to langchain-ai org?? *Keen to hear your thoughts and make this
integration shine!* 

---------

Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-04-11 20:31:39 +00:00
Christophe Bornet
913c896598
core: Add ruff rules FBT001 and FBT002 (#30695)
Add ruff rules
[FBT001](https://docs.astral.sh/ruff/rules/boolean-type-hint-positional-argument/)
and
[FBT002](https://docs.astral.sh/ruff/rules/boolean-default-value-positional-argument/).
Mostly `noqa`s to not introduce breaking changes and possible
non-breaking fixes have already been done in a [previous
PR](https://github.com/langchain-ai/langchain/pull/29424).
These rules will prevent new violations to happen.
2025-04-11 16:26:33 -04:00
William FH
2803a48661
core[patch]: Share executor for async callbacks run in sync context (#30779)
To avoid having to create ephemeral threads, grab the thread lock, etc.
2025-04-11 10:34:43 -07:00
Sydney Runkle
fdc2b4bcac
core[lint]: Use 3.9 formatting for docs and tests (#30780)
Looks like `pyupgrade` was already used here but missed some docs and
tests.

This helps to keep our docs looking professional and up to date.
Eventually, we should lint / format our inline docs.
2025-04-11 10:39:25 -04:00
Sydney Runkle
48affc498b
langchain[lint]: use pyupgrade to get to 3.9 standards (#30782) 2025-04-11 10:33:26 -04:00
ccurme
d9b628e764
xai: release 0.2.3 (#30790) 2025-04-11 14:05:11 +00:00
ccurme
9cfb95e621
xai[patch]: support reasoning content (#30758)
https://docs.x.ai/docs/guides/reasoning

```python
from langchain.chat_models import init_chat_model

llm = init_chat_model(
    "xai:grok-3-mini-beta",
    reasoning_effort="low"
)
response = llm.invoke("Hello, world!")
```
2025-04-11 14:00:27 +00:00
Christophe Bornet
89f28a24d3
core[lint]: Fix typing in test_async_callbacks (#30788) 2025-04-11 07:26:38 -04:00
Sydney Runkle
8c6734325b
partners[lint]: run pyupgrade to get code in line with 3.9 standards (#30781)
Using `pyupgrade` to get all `partners` code up to 3.9 standards
(mostly, fixing old `typing` imports).
2025-04-11 07:18:44 -04:00
Jacob Lee
e72f3c26a0
fix(ollama): Remove redundant message from response_metadata (#30778) 2025-04-10 23:12:57 -07:00
Jannik Maierhöfer
f3c3ec9aec
docs: add langfuse integration to provider list (#30573)
This PR adds the Langfuse integration to the provider list.
2025-04-10 22:25:42 -04:00
Christophe Bornet
dc19d42d37
core: Specify code when ignoring type issue (ruff PGH003) (#30675)
See https://docs.astral.sh/ruff/rules/blanket-type-ignore/
2025-04-10 22:23:52 -04:00
Paul Czarkowski
68d16d8a07
Community: Add Managed Identity support for Azure AI Search (#30730)
Add Managed Identity support for Azure AI Search

---------

Signed-off-by: Paul Czarkowski <username.taken@gmail.com>
2025-04-10 22:22:58 -04:00
CtrlMj
5103594a2c
replace the deprecated initialize_agent in playwright.ipynb with create_react_agent (#30734)
**Description:** Replaced the example with the deprecated
`intialize_agent` function with `create_react_agent` from
`langgraph.prebuild`

**Issue:** #29277 

**Dependencies:** N/A
**Twitter handle:** N/A
2025-04-10 22:12:12 -04:00
Eugene Yurtsev
e42b3d285a
langchain: remove langchain-server script (#30755)
Has been replaced by langsmith a long long time ago
2025-04-10 22:11:42 -04:00
Pol de Font-Réaulx
48cf7c838d
feat(community): add oauth2 support for Jira toolkit (#30684)
**Description:** add support for oauth2 in Jira tool by adding the
possibility to pass a dictionary with oauth parameters. I also adapted
the documentation to show this new behavior
2025-04-10 22:04:09 -04:00
Oleg Ovcharuk
b6fe7e8c10
docs: YDB Vector Store docs (#30636)
This PR adds docs about how to use YDB as a vector store

[YDB](https://ydb.tech/) is a versatile open-source distributed SQL
database. It supports [vector
search](https://ydb.tech/docs/en/yql/reference/udf/list/knn) which means
it can be used as a vector store with langchain.

YDB vectore store comes with
[langchain-ydb](https://pypi.org/project/langchain-ydb/) pypi package.

Co-authored-by: ccurme <chester.curme@gmail.com>
2025-04-10 21:33:56 -04:00
湛露先生
7a4ae6fbff
community[patch]: simplify cache logic (#30760)
Thank you for contributing to LangChain!

- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs 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, eyurtsev, ccurme, vbarda, hwchase17.

Signed-off-by: zhanluxianshen <zhanluxianshen@163.com>
2025-04-10 19:20:57 -04:00
ccurme
8e053ac9d2
core[patch]: support customization of backoff parameters in with_retries (#30773)
Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com>
2025-04-10 19:18:36 -04:00
amohan
e981a9810d
docs: update links in cloudflare docs (#30776)
Thanks for reviewing again. I was notified of some
[links](https://python.langchain.com/api_reference/cloudflare/) not
being correct in the default integrations so updating them in this PR.
2025-04-10 19:08:18 -04:00
William FH
70532a65f8
Async callback benchmark (#30777) 2025-04-10 15:47:19 -07:00
Sydney Runkle
c6172d167a
Only run CodSpeed benchmarks with run-codspeed-benchmarks label (#30774) 2025-04-10 15:48:14 -04:00
amohan
f70df01e01
docs: Update ordering of cloudflare integration examples in providers page (#30768)
Updated the ordering of cloudflare integrations and updated import
examples. Follow up from
https://github.com/langchain-ai/langchain/pull/30749
2025-04-10 15:34:58 -04:00
Sydney Runkle
8f8fea2d7e
[performance]: Use hard coded langchain-core version to avoid importlib import (#30744)
This PR aims to reduce import time of `langchain-core` tools by removing
the `importlib.metadata` import previously used in `__init__.py`. This
is the first in a sequence of PRs to reduce import time delays for
`langchain-core` features and structures 🚀.

Because we're now hard coding the version, we need to make sure
`version.py` and `pyproject.toml` stay in sync, so I've added a new CI
job that runs whenever either of those files are modified. [This
run](https://github.com/langchain-ai/langchain/actions/runs/14358012706/job/40251952044?pr=30744)
demonstrates the failure that occurs whenever the version gets out of
sync (thus blocking a PR).

Before, note the ~15% of time spent on the `importlib.metadata` /related
imports

<img width="1081" alt="Screenshot 2025-04-09 at 9 06 15 AM"
src="https://github.com/user-attachments/assets/59f405ec-ee8d-4473-89ff-45dea5befa31"
/>

After (note, lack of `importlib.metadata` time sink):

<img width="1245" alt="Screenshot 2025-04-09 at 9 01 23 AM"
src="https://github.com/user-attachments/assets/9c32e77c-27ce-485e-9b88-e365193ed58d"
/>
2025-04-10 14:15:02 -04:00
Sydney Runkle
cd6a83117c
Adding more import time benchmarks for langchain-core (#30770)
Plus minor typo fix in `ChatPromptTemplate` case id.
2025-04-10 11:50:12 -04:00
Chamath K.B. Attanayaka
6c45c9efc3
docs: update clickhouse version in notebook example (#30754)
update clickhouse docker version tag in notebook example to avoid
compatibility issues with clickhouse-connect.
2025-04-10 09:51:54 -04:00
amohan
44b83460b2
docs: Add Cloudflare integrations (#30749)
Description:
This PR adds documentation for the langchain-cloudflare integration
package.

Issue:
N/A

Dependencies:
No new dependencies are required.

Tests and Docs:

Added an example notebook demonstrating the usage of the
langchain-cloudflare package, located in docs/docs/integrations.
Added a new package to libs/packages.yml.

Lint and Format:

Successfully ran make format and make lint.

---------

Co-authored-by: Collier King <collier@cloudflare.com>
Co-authored-by: Collier King <collierking99@gmail.com>
2025-04-10 09:27:23 -04:00
湛露先生
c87a270e5f
cookbook: Fix docs typos. (#30763)
Thank you for contributing to LangChain!

- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs 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, eyurtsev, ccurme, vbarda, hwchase17.

Signed-off-by: zhanluxianshen <zhanluxianshen@163.com>
2025-04-10 09:13:24 -04:00
ccurme
63c16f5ca8
community: deprecate AzureCosmosDBNoSqlVectorSearch in favor of langchain-azure-ai implementation (#30756) 2025-04-09 21:04:16 +00:00
Christophe Bornet
4cc7bc6c93
core: Add ruff rules PLR (#30696)
Add ruff rules [PLR](https://docs.astral.sh/ruff/rules/#refactor-plr)
Except PLR09xxx and PLR2004.

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-04-09 15:15:38 -04:00
célina
68361f9c2d
partners: (langchain-huggingface) Embeddings - Integrate Inference Providers and remove deprecated code (#30735)
Hi there, This is a complementary PR to #30733.
This PR introduces support for Hugging Face's serverless Inference
Providers (documentation
[here](https://huggingface.co/docs/inference-providers/index)), allowing
users to specify different providers

This PR also removes the usage of `InferenceClient.post()` method in
`HuggingFaceEndpointEmbeddings`, in favor of the task-specific
`feature_extraction` method. `InferenceClient.post()` is deprecated and
will be removed in `huggingface_hub` v0.31.0.

## Changes made

- bumped the minimum required version of the `huggingface_hub` package
to ensure compatibility with the latest API usage.
- added a provider field to `HuggingFaceEndpointEmbeddings`, enabling
users to select the inference provider.
- replaced the deprecated `InferenceClient.post()` call in
`HuggingFaceEndpointEmbeddings` with the task-specific
`feature_extraction` method for future-proofing, `post()` will be
removed in `huggingface-hub` v0.31.0.

 All changes are backward compatible.

---------

Co-authored-by: Lucain <lucainp@gmail.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
2025-04-09 19:05:43 +00:00
Christophe Bornet
98f0016fc2
core: Add ruff rules ARG (#30732)
See https://docs.astral.sh/ruff/rules/#flake8-unused-arguments-arg
2025-04-09 14:39:36 -04:00
Sydney Runkle
66758599a9
[ci]: Quick codspeed.yml tweaks to enable comparisons with master (#30752)
* Only run codspeed logic when `libs/core` is changed (for now, we'll
want to add other benchmarks later
* Also run on `master` so that we can get a reference :)
2025-04-09 13:13:49 -04:00
theosaurus
d47d6ecbc3
dosc: Fix typo in get_separators_for_language method section (#30748)
Thank you for contributing to LangChain!

- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs 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, eyurtsev, ccurme, vbarda, hwchase17.
2025-04-09 13:03:01 -04:00
Sydney Runkle
78ec7d886d
[performance]: Adding benchmarks for common langchain-core imports (#30747)
The first in a sequence of PRs focusing on improving performance in
core. We're starting with reducing import times for common structures,
hence the benchmarks here.

The benchmark looks a little bit complicated - we have to use a process
so that we don't suffer from Python's import caching system. I tried
doing manual modification of `sys.modules` between runs, but that's
pretty tricky / hacky to get right, hence the subprocess approach.

Motivated by extremely slow baseline for common imports (we're talking
2-5 seconds):

<img width="633" alt="Screenshot 2025-04-09 at 12 48 12 PM"
src="https://github.com/user-attachments/assets/994616fe-1798-404d-bcbe-48ad0eb8a9a0"
/>

Also added a `make benchmark` command to make local runs easy :).
Currently using walltimes so that we can track total time despite using
a manual proces.
2025-04-09 13:00:15 -04:00
German Molina
5fb261ce27
community: Google Vertex AI Search now returns the website title as part of the document metadata (#30688)
Google vertex ai search will now return the title of the found website
as part of the document metadata, if available.

Thank you for contributing to LangChain!

- **Description**: Vertex AI Search can be used to index websites and
then develop chatbots that use these websites to answer questions. At
present, the document metadata includes an `id` and `source` (which is
the URL). While the URL is enough to create a link, the ID is not
descriptive enough to show users. Therefore, I propose we return `title`
as well, when available (e.g., it will not be available in `.txt`
documents found during the website indexing).
- **Issue**: No bug in particular, but it would be better if this was
here.
- **Dependencies**: None
- I do not use twitter.

Format, Lint and Test seem to be all good.
2025-04-09 08:54:06 -04:00
theosaurus
636d831d27
docs: Fix typo in 'Query re-writing" section (#30736)
Thank you for contributing to LangChain!

- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs 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, eyurtsev, ccurme, vbarda, hwchase17.
2025-04-09 08:50:14 -04:00
giulia_p_lib
deec538335
docs: fix small typo in map_rerank_docs_chain.ipynb (#30738)
- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** fixed a minor typo in map_rerank_docs_chain.ipynb
2025-04-09 08:49:37 -04:00
Akshay Dongare
164e606cae
docs: fix import path and update LiteLLM integration docs (#30685)
- [x] **PR title**: "docs: Update import path and LiteLLM integration
docs"
- Update the old import path for `ChatLiteLLM` to reflect the new export
from
[`__init__.py`](https://github.com/Akshay-Dongare/langchain-litellm/blob/main/langchain_litellm/__init__.py)
in
[`langchain-litellm`](https://github.com/Akshay-Dongare/langchain-litellm)
package

- [x] **PR message**:
    - **Description:** 
    - 🔗 **Follow-up to**: PR #30637
    - 🔧 **Fixes**: #30368
- 💬 **Based on this comment from** @ccurme:
https://github.com/langchain-ai/langchain/pull/30637#discussion_r2029084320
 


- [x] **About me**
🔗 LinkedIn:
[akshay-dongare](https://www.linkedin.com/in/akshay-dongare/)
2025-04-08 13:04:17 -04:00
Ikko Eltociear Ashimine
5686fed40b
docs: update yellowbrick.ipynb (#30729)
retreival -> retrieval
2025-04-08 11:56:35 -04:00
Sydney Runkle
4556b81b1d
Clean up numpy dependencies and speed up 3.13 CI with numpy>=2.1.0 (#30714)
Generally, this PR is CI performance focused + aims to clean up some
dependencies at the same time.

1. Unpins upper bounds for `numpy` in all `pyproject.toml` files where
`numpy` is specified
2. Requires `numpy >= 2.1.0` for Python 3.13 and `numpy > v1.26.0` for
Python 3.12, plus a `numpy` min version bump for `chroma`
3. Speeds up CI by minutes - linting on Python 3.13, installing `numpy <
2.1.0` was taking [~3
minutes](https://github.com/langchain-ai/langchain/actions/runs/14316342925/job/40123305868?pr=30713),
now the entire env setup takes a few seconds
4. Deleted the `numpy` test dependency from partners where that was not
used, specifically `huggingface`, `voyageai`, `xai`, and `nomic`.

It's a bit unfortunate that `langchain-community` depends on `numpy`, we
might want to try to fix that in the future...

Closes https://github.com/langchain-ai/langchain/issues/26026
Fixes https://github.com/langchain-ai/langchain/issues/30555
2025-04-08 09:45:07 -04:00
ccurme
163730aef4
docs: update SQL QA prompt (#30728)
Resolves https://github.com/langchain-ai/langchain/issues/30724

The [prompt in
langchain-hub](https://smith.langchain.com/hub/langchain-ai/sql-query-system-prompt)
used in this guide was composed of just a system message, but the guide
did not add a human message to it. This was incompatible with some
providers (and is generally not a typical usage pattern).

The prompt in prompt hub has been updated to split the question into a
separate HumanMessage. Here we update the guide to reflect this.
2025-04-08 09:42:49 -04:00
湛露先生
9cbe91896e
Fix deepseek release tag, as it is update name. (#30717)
Thank you for contributing to LangChain!

- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs 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, eyurtsev, ccurme, vbarda, hwchase17.

Signed-off-by: zhanluxianshen <zhanluxianshen@163.com>
2025-04-08 08:43:16 -04:00
Nithish Raghunandanan
893942651b
docs: Update couchbase vector store docs (#30710)
-  **Update LangChain-Couchbase documentation**
- Rename `CouchbaseVectorStore` in favor of `CouchbaseSearchVectorStore`

- [x] **Lint and test**
2025-04-07 18:45:14 -04:00
Eugene Yurtsev
3ce0587199
ci: remove unused debug action (#30713)
Removing an unused action
2025-04-07 22:32:37 +00:00
ccurme
a2bec5f2e5
ollama: release 0.3.1 (#30716) 2025-04-07 20:31:25 +00:00
ccurme
e3f15f0a47
ollama[patch]: add model_name to response metadata (#30706)
Fixes [this standard
test](https://python.langchain.com/api_reference/standard_tests/integration_tests/langchain_tests.integration_tests.chat_models.ChatModelIntegrationTests.html#langchain_tests.integration_tests.chat_models.ChatModelIntegrationTests.test_usage_metadata).
2025-04-07 16:27:58 -04:00
ccurme
e106e9602f
groq[patch]: add retries to integration tests (#30707)
Tool-calling tests started intermittently failing with
> groq.APIError: Failed to call a function. Please adjust your prompt.
See 'failed_generation' for more details.
2025-04-07 12:45:53 -04:00
aaronlaitner
4f9f97bd12
docs: replaced initialize_agent with create_react_agent in dalle_image_generator.ipynb (#30697)
## Description:

Replaced deprecated 'initialize_agent' with 'create_react_agent' in
dalle_image_generator.ipynb
## Issue:
#29277

## Dependencies:
None

## Twitter handle:
@Thatopman

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-07 13:33:52 +00:00
Mohammad Mohtashim
e935da0b12
ChatTongyi reasoning_content fix (#30694)
- **Description:** Small fix for `reasoning_content` key
- **Issue:** #30689
2025-04-07 09:27:33 -04:00
Tin Lai
4d03ba4686
langchain_qdrant: fix showing the missing sparse vector name (#30701)
**Description:** The error message was supposed to display the missing
vector name, but instead, it includes only the existing collection
configs.

This simple PR just includes the correct variable name, so that the user
knows the requested vector does not exist in the collection.

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, eyurtsev, ccurme, vbarda, hwchase17.

Signed-off-by: Tin Lai <tin@tinyiu.com>
2025-04-07 09:19:08 -04:00
Eugene Yurtsev
30af9b8166
Update bug-report.yml (#30680)
Update bug report template!
2025-04-04 16:47:50 -04:00
jessicaou
2712ecffeb
Update Contributor Docs (#30679)
Deletes statement on integration marketing
2025-04-04 16:35:11 -04:00
Ninad Sinha
a3671ceb71
docs: Add tools for hyperbrowser (#30606)
Description

This PR updates the docs for the
[langchain-hyperbrowser](https://pypi.org/project/langchain-hyperbrowser/)
package. It adds a few tools
 - Scrape Tool
 - Crawl Tool
 - Extract Tool
 - Browser Agents
   - Claude Computer Use
   - OpenAI CUA
   - Browser Use 

[Hyperbrowser](https://hyperbrowser.ai/) is a platform for running and
scaling headless browsers. It lets you launch and manage browser
sessions at scale and provides easy to use solutions for any webscraping
needs, such as scraping a single page or crawling an entire site.

Issue
None

Dependencies
None

Twitter Handle
`@hyperbrowser`
2025-04-04 16:02:47 -04:00
Christophe Bornet
6650b94627
core: Add ruff rules PYI (#29335)
See https://docs.astral.sh/ruff/rules/#flake8-pyi-pyi

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-04-04 19:59:44 +00:00
Philippe PRADOS
d8e3b7667f
community[patch]: Fix empty producer in PDF Parsers (#30620)
Fix an issue where if a pdf file doesn't have a “producer” in metadata, it generates an exception.
2025-04-04 15:53:49 -04:00
Christophe Bornet
f0159c7125
core: Add ruff rules PGH (except PGH003) (#30656)
Add ruff rules PGH: https://docs.astral.sh/ruff/rules/#pygrep-hooks-pgh
Except PGH003 which will be dealt in a dedicated PR.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
2025-04-04 19:53:27 +00:00
Jorge Ángel Juárez Vázquez
2491237473
docs: Add Google Calendar documentation (#30633)
## Docs: Add Google Calendar Toolkit Documentation

### Description:
This PR adds documentation for the Google Calendar Toolkit as part of
the `langchain-google` repository. Refer to the related PR: [community:
Add Google Calendar
Toolkit](https://github.com/langchain-ai/langchain-google/pull/688).

### Issue:
N/A 

### Twitter handle:
@jorgejrzz
2025-04-04 15:53:03 -04:00
Armaanjeet Singh Sandhu
7c2468f36b
core: Fix handler removal in BaseCallbackManager (Fixes #30640) (#30659)
**Description:**  
Fixed a bug in `BaseCallbackManager.remove_handler()` that caused a
`ValueError` when removing a handler added via the constructor's
`handlers` parameter. The issue occurred because handlers passed to the
constructor were added only to the `handlers` list and not automatically
to `inheritable_handlers` unless explicitly specified. However,
`remove_handler()` attempted to remove the handler from both lists
unconditionally, triggering a `ValueError` when it wasn't in
`inheritable_handlers`.

The fix ensures the method checks for the handler’s presence in each
list before attempting removal, making it more robust while preserving
its original behavior.

**Issue:** Fixes #30640

**Dependencies:** None

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-04-04 15:45:15 -04:00
Mohammad Mohtashim
bff56c5fa6
community[patch]: Redundant Parser checker for Webbaseloader (#30632)
- **Description:** We do not need to set parser in `scrape` since it is
already been done in `_scrape`
- **Issue:** #30629, not directly related but makes sure xml parser is
used
2025-04-04 14:11:26 -04:00
Christophe Bornet
150ac0cb79
core: Add ruff rules DTZ (#30657)
Add ruff rules DTZ:
https://docs.astral.sh/ruff/rules/#flake8-datetimez-dtz
2025-04-04 13:43:47 -04:00
Christophe Bornet
5e418c2666
core: Rework pydantic version checks (#30653)
This pull request includes various changes to the `langchain_core`
library, focusing on improving compatibility with different versions of
Pydantic. The primary change involves replacing checks for Pydantic
major versions with boolean flags, which simplifies the code and
improves readability.
This also solves ruff rule checks for
[RUF048](https://docs.astral.sh/ruff/rules/map-int-version-parsing/) and
[PLR2004](https://docs.astral.sh/ruff/rules/magic-value-comparison/).

Key changes include:

### Compatibility Improvements:
*
[`libs/core/langchain_core/output_parsers/json.py`](diffhunk://#diff-5add0cf7134636ae4198a1e0df49ee332ae0c9123c3a2395101e02687c717646L22-R24):
Replaced `PYDANTIC_MAJOR_VERSION` with `IS_PYDANTIC_V1` to check for
Pydantic version 1.
*
[`libs/core/langchain_core/output_parsers/pydantic.py`](diffhunk://#diff-2364b5b4aee01c462aa5dbda5dc3a877dcd20f29df173ad540dc8adf8b192361L14-R14):
Updated version checks from `PYDANTIC_MAJOR_VERSION` to `IS_PYDANTIC_V2`
in the `PydanticOutputParser` class.
[[1]](diffhunk://#diff-2364b5b4aee01c462aa5dbda5dc3a877dcd20f29df173ad540dc8adf8b192361L14-R14)
[[2]](diffhunk://#diff-2364b5b4aee01c462aa5dbda5dc3a877dcd20f29df173ad540dc8adf8b192361L27-R27)

### Utility Enhancements:
*
[`libs/core/langchain_core/utils/pydantic.py`](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896R23):
Introduced `IS_PYDANTIC_V1` and `IS_PYDANTIC_V2` flags and deprecated
the `get_pydantic_major_version` function. Updated various functions to
use these flags instead of version numbers.
[[1]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896R23)
[[2]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896R42-R78)
[[3]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896L90-R89)
[[4]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896L104-R101)
[[5]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896L120-R122)
[[6]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896L135-R132)
[[7]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896L149-R151)
[[8]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896L164-R161)
[[9]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896L248-R250)
[[10]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896L330-R335)
[[11]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896L356-R357)
[[12]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896L393-R390)
[[13]](diffhunk://#diff-ff28020c5f1073a8b63bcd9d8b756a187fd682cb81935295120c63b207071896L403-R400)

### Test Updates:
*
[`libs/core/tests/unit_tests/output_parsers/test_openai_tools.py`](diffhunk://#diff-694cc0318edbd6bbca34f53304934062ad59ba9f5a788252ce6c5f5452489d67L19-R22):
Updated tests to use `IS_PYDANTIC_V1` and `IS_PYDANTIC_V2` for version
checks.
[[1]](diffhunk://#diff-694cc0318edbd6bbca34f53304934062ad59ba9f5a788252ce6c5f5452489d67L19-R22)
[[2]](diffhunk://#diff-694cc0318edbd6bbca34f53304934062ad59ba9f5a788252ce6c5f5452489d67L532-R535)
[[3]](diffhunk://#diff-694cc0318edbd6bbca34f53304934062ad59ba9f5a788252ce6c5f5452489d67L567-R570)
[[4]](diffhunk://#diff-694cc0318edbd6bbca34f53304934062ad59ba9f5a788252ce6c5f5452489d67L602-R605)
*
[`libs/core/tests/unit_tests/prompts/test_chat.py`](diffhunk://#diff-3e60e744842086a4f3c4b21bc83e819c3435720eab210078e77e2430fb8c7e84R7):
Replaced version tuple checks with `PYDANTIC_VERSION` comparisons.
[[1]](diffhunk://#diff-3e60e744842086a4f3c4b21bc83e819c3435720eab210078e77e2430fb8c7e84R7)
[[2]](diffhunk://#diff-3e60e744842086a4f3c4b21bc83e819c3435720eab210078e77e2430fb8c7e84L35-R38)
[[3]](diffhunk://#diff-3e60e744842086a4f3c4b21bc83e819c3435720eab210078e77e2430fb8c7e84L924-R927)
[[4]](diffhunk://#diff-3e60e744842086a4f3c4b21bc83e819c3435720eab210078e77e2430fb8c7e84L935-R938)
*
[`libs/core/tests/unit_tests/runnables/test_graph.py`](diffhunk://#diff-99a290330ef40103d0ce02e52e21310d6fadea142bfdea13c94d23fc81c0bb5dR3):
Simplified version checks using `PYDANTIC_VERSION`.
[[1]](diffhunk://#diff-99a290330ef40103d0ce02e52e21310d6fadea142bfdea13c94d23fc81c0bb5dR3)
[[2]](diffhunk://#diff-99a290330ef40103d0ce02e52e21310d6fadea142bfdea13c94d23fc81c0bb5dL15-R18)
[[3]](diffhunk://#diff-99a290330ef40103d0ce02e52e21310d6fadea142bfdea13c94d23fc81c0bb5dL234-L239)
*
[`libs/core/tests/unit_tests/runnables/test_runnable.py`](diffhunk://#diff-06bed920c0dad0cfd41d57a8d9e47a7b56832409649c10151061a791860d5bb5L18-R20):
Introduced `PYDANTIC_VERSION_AT_LEAST_29` and
`PYDANTIC_VERSION_AT_LEAST_210` for more readable version checks.
[[1]](diffhunk://#diff-06bed920c0dad0cfd41d57a8d9e47a7b56832409649c10151061a791860d5bb5L18-R20)
[[2]](diffhunk://#diff-06bed920c0dad0cfd41d57a8d9e47a7b56832409649c10151061a791860d5bb5L92-R99)
[[3]](diffhunk://#diff-06bed920c0dad0cfd41d57a8d9e47a7b56832409649c10151061a791860d5bb5L230-R233)
[[4]](diffhunk://#diff-06bed920c0dad0cfd41d57a8d9e47a7b56832409649c10151061a791860d5bb5L652-R655)
2025-04-04 13:42:30 -04:00
Christophe Bornet
43b5dc7191
core: Add ruff rules TD and FIX (#30654)
Add ruff rules:
* FIX: https://docs.astral.sh/ruff/rules/#flake8-fixme-fix
* TD: https://docs.astral.sh/ruff/rules/#flake8-todos-td

Code cleanup:

*
[`libs/core/langchain_core/outputs/chat_generation.py`](diffhunk://#diff-a1017ee46f58fa4005b110ffd4f8e1fb08f6a2a11d6ca4c78ff8be641cbb89e5L56-R56):
Removed the "HACK" prefix from a comment in the `set_text` method.

Configuration adjustments:

*
[`libs/core/pyproject.toml`](diffhunk://#diff-06baaee12b22a370fef9f170c9ed13e2727e377d3b32f5018430f4f0a39d3537R85-R93):
Added new rules `FIX002`, `TD002`, and `TD003` to the ignore list.
*
[`libs/core/pyproject.toml`](diffhunk://#diff-06baaee12b22a370fef9f170c9ed13e2727e377d3b32f5018430f4f0a39d3537L102-L108):
Removed the `FIX` and `TD` rules from the ignore list.

Test refinement:

*
[`libs/core/tests/unit_tests/runnables/test_runnable.py`](diffhunk://#diff-06bed920c0dad0cfd41d57a8d9e47a7b56832409649c10151061a791860d5bb5L3231-R3232):
Updated a TODO comment to improve clarity in the `test_map_stream`
function.
2025-04-04 13:40:42 -04:00
ccurme
a007c57285
docs: update package registry sort order (#30677) 2025-04-04 13:12:39 -04:00
Sydney Runkle
33ed7c31da
docs: fix perplexity install instructions in ChatPerplexity docstring (#30676)
* `openai` install no longer needs to be done manually
2025-04-04 12:58:18 -04:00
Dhruvajyoti Sarma
f9bb5ec5d0
feature: removed pandas dataframe dependency for similary_search when using DuckDB as vector store (#30445)
- [ ] **PR title**: "community: Removes pandas dependency for using
DuckDB for similarity search"


- [ ] **PR message**: 
- **Description:** Removes pandas dependency for using DuckDB for
similarity search. The old function still exists as
`similarity_search_pd`, while the new one is at `similarity_search` and
requires no code changes. Return format remains the same.
    - **Issue:** Issue #29933 and update on PR #30435 
    - **Dependencies:** No dependencies
2025-04-04 12:19:18 -04:00
Akshay Dongare
f79473b752
Solved issue Implement langchain-litellm #30368 (#30637)
**PR title**: 
- [x] 1. docs: docs/docs/integrations/providers/LiteLLM.md
- [x] 2. docs: docs/docs/integrations/chat/litellm.ipynb
- [x] 3. libs: libs/packages.yml

- [x] **PR message**:
    - **Description:** Implement langchain-litellm
    - **Issue:** the issue #30368 
    - **Twitter handle:** akshay_d02
    - **LinkedIn Handle** https://linkedin.com/in/akshay-dongare 

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

- [x] **Lint and test**: Done

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-04 16:12:10 +00:00
Yiğit Bekir Kaya, PhD
87e82fe1e8
Added langchain-qwq package documentation (Alibaba Cloud) (#30628)
LangChain QwQ allows non-Tongyi users to access thinking models with
extra capabilities which serve as an extension to Alibaba Cloud.

Hi @ccurme I'm back with the updated PR this time with documentation and
a finished package.

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



- **Description:** adds documentation of `langchain-qwq` integration
package. Also adds it to Alibaba Cloud provider
- **Issue:** #30580 #30317 #30579
- **Dependencies:** openai, json-repair
- **Twitter handle:** YigitBekir


- [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, eyurtsev, ccurme, vbarda, hwchase17.
2025-04-04 11:47:14 -04:00
Andrew Benton
4e7a9a7014
community: Add support for custom runtimes to Riza tools (#30664)
**Description:**
Adds support for Riza custom runtimes to the two Riza code interpreter
tools, allowing users to run LLM-generated code that depends on
libraries outside stdlib.
**Issue:** N/A
**Dependencies:** None
**Twitter handle:** @rizaio
2025-04-04 11:03:14 -04:00
diego dupin
aa37893c00
MariaDB vector store documentation addition (#30229)
### New Feature

Since version 11.7.1, MariaDB support vector. This is a super fast
implementation (see [some perf
blog](https://smalldatum.blogspot.com/2025/01/evaluating-vector-indexes-in-mariadb.html)
The goal is to support MariaDB with langchain

Implementation is done in
https://github.com/mariadb-corporation/langchain-mariadb, published in
https://pypi.org/project/langchain-mariadb/

This concerns the doc addition
 

(initial PR https://github.com/langchain-ai/langchain/pull/29989)

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: Oskar Stark <oskarstark@googlemail.com>
2025-04-04 14:56:25 +00:00
Sydney Runkle
1cdea6ab07
langchain-community: release 0.3.21 (#30673) 2025-04-04 14:14:50 +00:00
Sydney Runkle
901dffe06b
langchain: release 0.3.23 (#30670)
* Bump `text-splitters` min version
* Bump `langchain-core` min version
* Bump `langchain` version 🚀
2025-04-04 10:06:29 -04:00
ccurme
0c2c8c36c1
text-splitters: release 0.3.8 (#30671) 2025-04-04 09:58:45 -04:00
ccurme
59d508a2ee
openai[patch]: make computer test more reliable (#30672) 2025-04-04 13:53:59 +00:00
Sydney Runkle
c235328b39 Revert "update langchain version and bump min core v"
This reverts commit d0f154dbaa.
2025-04-04 09:31:51 -04:00
Sydney Runkle
d0f154dbaa update langchain version and bump min core v 2025-04-04 09:27:49 -04:00
Sydney Runkle
32cd70d7d2
release: bump core to v0.3.51 (#30668) 2025-04-04 13:23:09 +00:00
Max Forsey
18cf457eec
langchain-runpod integration (#30648)
## Description:

This PR adds the necessary documentation for the `langchain-runpod`
partner package integration. It includes:

* A provider page (`docs/docs/integrations/providers/runpod.ipynb`)
explaining the overall setup.
* An LLM component page (`docs/docs/integrations/llms/runpod.ipynb`)
detailing the `RunPod` class usage.
* A Chat Model component page
(`docs/docs/integrations/chat/runpod.ipynb`) detailing the `ChatRunPod`
class usage, including a feature support table.

These documentation files reflect the latest features of the
`langchain-runpod` package (v0.2.0+) such as async support and API
polling logic.

This work also addresses the review feedback provided on the previous
attempt in PR #30246 by:
*   Removing all TODOs from documentation.
*   Adding the required links between provider and component pages.
*   Completing the feature support table in the chat documentation.
*   Linking to the source code on GitHub for API reference.

Finally, it registers the `langchain-runpod` package in
`libs/packages.yml`.

## Dependencies:

None added to the core LangChain repository by these documentation
changes. The required dependency (`langchain-runpod`) is managed as a
separate package.

## Twitter handle:

@runpod_io

---------

Co-authored-by: Max Forsey <maxpod@maxpod.local>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-03 23:57:06 +00:00
NikeHop
9c03cd5775
Fix tool description in serpapi.ipynb (#30660)
Thank you for contributing to LangChain!

- [x] Fix Tool description of SerpAPI tool: "docs: Fix SerpAPI tool
description"



- [ ] Fix SerpAPI tool description: 
- Tool description + name in example initialization of the SerpAPI tool
was still that of the python repl tool.
    - @RLHoeppi

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-03 23:36:29 +00:00
Sydney Runkle
af66ab098e
Adding Perplexity extra and deprecating the community version of ChatPerplexity (#30649)
Plus, some accompanying docs updates

Some compelling usage:

```py
from langchain_perplexity import ChatPerplexity


chat = ChatPerplexity(model="llama-3.1-sonar-small-128k-online")
response = chat.invoke(
    "What were the most significant newsworthy events that occurred in the US recently?",
    extra_body={"search_recency_filter": "week"},
)
print(response.content)
# > Here are the top significant newsworthy events in the US recently: ...
```

Also, some confirmation of structured outputs:

```py
from langchain_perplexity import ChatPerplexity
from pydantic import BaseModel


class AnswerFormat(BaseModel):
    first_name: str
    last_name: str
    year_of_birth: int
    num_seasons_in_nba: int


messages = [
    {"role": "system", "content": "Be precise and concise."},
    {
        "role": "user",
        "content": (
            "Tell me about Michael Jordan. "
            "Please output a JSON object containing the following fields: "
            "first_name, last_name, year_of_birth, num_seasons_in_nba. "
        ),
    },
]

llm = ChatPerplexity(model="llama-3.1-sonar-small-128k-online")
structured_llm = llm.with_structured_output(AnswerFormat)
response = structured_llm.invoke(messages)
print(repr(response))
#> AnswerFormat(first_name='Michael', last_name='Jordan', year_of_birth=1963, num_seasons_in_nba=15)
```
2025-04-03 14:29:17 -04:00
ccurme
b8929e3d5f
docs: add image generation example to Google genai docs (#30650) 2025-04-03 14:21:54 -04:00
ccurme
374769e8fe
core[patch]: log information from certain errors (#30626)
Some exceptions raised by SDKs include information in httpx responses
(see for example
[OpenAI](https://github.com/openai/openai-python/blob/main/src/openai/_exceptions.py)).
Here we trace information from those exceptions.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2025-04-03 16:45:19 +00:00
Sydney Runkle
17a9cd61e9
Bump langchain-core version in perplexity's pyproject.toml (#30647)
Blocking v0.1.0 release of `langchain-perplexity`
2025-04-03 16:19:10 +00:00
Sydney Runkle
3814bd1ea7
partners: Add Perplexity Chat Integration (#30618)
Perplexity's importance in the space has been growing, so we think it's
time to add an official integration!

Note: following the release of `langchain-perplexity` to `pypi`, we
should be able to add `perplexity` as an extra in
`libs/langchain/pyproject.toml`, but we're blocked by a circular import
for now.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-04-03 16:09:14 +00:00
vgrfl
87c02a1aff
docs: Fixed a typo in 'Google AI vs Google Cloud Vertex AI' section (#30642)
**Description:** Corrected 'encription' spelling to 'encryption'
2025-04-03 09:04:29 -04:00
Alejandro Rodríguez
884125e129
community: support usage_metadata for litellm (#30625)
Support "usage_metadata" for LiteLLM. 

If no one reviews your PR within a few days, please @-mention one of
baskaryan, eyurtsev, ccurme, vbarda, hwchase17.
2025-04-02 19:45:15 -04:00
Jacob Lee
01d0cfe450
docs: Remove TODO from Ollama docs page (#30627) 2025-04-02 22:59:15 +00:00
Christophe Bornet
f241fd5c11
core: Add ruff rules RET (#29384)
See https://docs.astral.sh/ruff/rules/#flake8-return-ret
All auto-fixes
2025-04-02 16:59:56 -04:00
Eugene Yurtsev
9ae792f56c
core: 0.3.50 release (#30623)
0.3.50 release
2025-04-02 14:46:23 -04:00
Christophe Bornet
ccc3d32ec8
core: Add ruff rules for Pylint PLC (Convention) and PLE (Errors) (#29286)
See https://docs.astral.sh/ruff/rules/#pylint-pl
2025-04-02 10:58:03 -04:00
ccurme
fe0fd9dd70
openai[patch]: upgrade tiktoken and fix test (#30621)
Related to https://github.com/langchain-ai/langchain/issues/30344

https://github.com/langchain-ai/langchain/pull/30542 introduced an
erroneous test for token counts for o-series models. tiktoken==0.8 does
not support o-series models in
`tiktoken.encoding_for_model(model_name)`, and this is the version of
tiktoken we had in the lock file. So we would default to `cl100k_base`
for o-series, which is the wrong encoding model. The test tested against
this wrong encoding (so it passed with tiktoken 0.8).

Here we update tiktoken to 0.9 in the lock file, and fix the expected
counts in the test. Verified that we are pulling
[o200k_base](https://github.com/openai/tiktoken/blob/main/tiktoken/model.py#L8),
as expected.
2025-04-02 10:44:48 -04:00
oxy-tg
38807871ec
docs: Add Oxylabs integration (#30591)
Description:
This PR adds documentation for the langchain-oxylabs integration
package.

The documentation includes instructions for configuring Oxylabs
credentials and provides example code demonstrating how to use the
package.

Issue:
N/A

Dependencies:
No new dependencies are required.

Tests and Docs:

Added an example notebook demonstrating the usage of the
Langchain-Oxylabs package, located in docs/docs/integrations.
Added a provider page in docs/docs/providers.
Added a new package to libs/packages.yml.

Lint and Test:

Successfully ran make format, make lint, and make test.
2025-04-02 14:40:32 +00:00
ccurme
816492e1d3
openai: release 0.3.12 (#30616) 2025-04-02 13:20:15 +00:00
Bagatur
111dd90a46
openai[patch]: support structured output and tools (#30581)
Co-authored-by: ccurme <chester.curme@gmail.com>
2025-04-02 09:14:02 -04:00
Karol Zmorski
32f7695809
docs: Little update in sample notebook with WatsonxToolkit (#30614)
**Description:**

- Updated sample notebook with valid tools.
2025-04-02 09:08:29 -04:00
Mahir Shah
9d3262c7aa
core: Propagate config_factories in RunnableBinding (#30603)
- **Description:** Propagates config_factories when calling decoration
methods for RunnableBinding--e.g. bind, with_config, with_types,
with_retry, and with_listeners. This ensures that configs attached to
the original RunnableBinding are kept when creating the new
RunnableBinding and the configs are merged during invocation. Picks up
where #30551 left off.
  - **Issue:** #30531

Co-authored-by: ccurme <chester.curme@gmail.com>
2025-04-01 18:03:58 -04:00
ccurme
8a69de5c24
openai[patch]: ignore file blocks when counting tokens (#30601)
OpenAI does not appear to document how it transforms PDF pages to
images, which determines how tokens are counted:
https://platform.openai.com/docs/guides/pdf-files?api-mode=chat#usage-considerations

Currently these block types raise ValueError inside
`get_num_tokens_from_messages`. Here we update to generate a warning and
continue.
2025-04-01 15:29:33 -04:00
Christophe Bornet
558191198f
core: Add ruff rule FBT003 (boolean-trap) (#29424)
See
https://docs.astral.sh/ruff/rules/boolean-positional-value-in-call/#boolean-positional-value-in-call-fbt003
This PR also fixes some FBT001/002 in private methods but does not
enforce these rules globally atm.

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-04-01 17:40:12 +00:00
Christophe Bornet
4f8ea13cea
core: Add ruff rules PERF (#29375)
See https://docs.astral.sh/ruff/rules/#perflint-perf
2025-04-01 13:34:56 -04:00
Christophe Bornet
8a33402016
core: Add ruff rules PT (pytest) (#29381)
See https://docs.astral.sh/ruff/rules/#flake8-pytest-style-pt
2025-04-01 13:31:07 -04:00
Ben Faircloth
6896c863e8
docs: add seekrflow chat model integration docs (#30596)
### **PR title**  
`docs: add SeekrFlow integration notebook`

---

### 💬 **PR message**  
- **Description:**  
This PR adds an integration notebook for
[`[ChatSeekrFlow](https://pypi.org/project/langchain-seekrflow/)`](https://pypi.org/project/langchain-seekrflow/)
under `docs/docs/integrations/chat/`. Per LangChain’s guidance,
SeekrFlow has been published as a standalone OSS package
(`langchain-seekrflow`) rather than as a direct community integration.
This notebook ensures discoverability, demonstration, and testability of
the integration within LangChain’s documentation structure.

- **Issue:**  
N/A – this is a new integration contribution aligned with LangChain’s
external package policy.

- **Dependencies:**  
-
[`[langchain-seekrflow](https://pypi.org/project/langchain-seekrflow)`](https://pypi.org/project/langchain-seekrflow)
(published to PyPI)
-
[`[seekrai](https://pypi.org/project/seekrai/)`](https://pypi.org/project/seekrai/)
(SeekrFlow client SDK)

- **Twitter handle (optional):**  
  @seekrtechnology

---------

Co-authored-by: Ben Faircloth <bfaircloth@seekr.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-04-01 13:18:01 -04:00
Christophe Bornet
768e4f695a
core: Add ruff rules S110 and S112 (#30599) 2025-04-01 13:17:22 -04:00
Christophe Bornet
88b4233fa1
core: Add ruff rules D (docstring) (#29406)
This ensures that the code is properly documented:
https://docs.astral.sh/ruff/rules/#pydocstyle-d

Related to #21983
2025-04-01 13:15:45 -04:00
Andras L Ferenczi
64df60e690
community[minor]: Add custom sitemap URL parameter to GitbookLoader (#30549)
## Description
This PR adds a new `sitemap_url` parameter to the `GitbookLoader` class
that allows users to specify a custom sitemap URL when loading content
from a GitBook site. This is particularly useful for GitBook sites that
use non-standard sitemap file names like `sitemap-pages.xml` instead of
the default `sitemap.xml`.
The standard `GitbookLoader` assumes that the sitemap is located at
`/sitemap.xml`, but some GitBook instances (including GitBook's own
documentation) use different paths for their sitemaps. This parameter
makes the loader more flexible and helps users extract content from a
wider range of GitBook sites.
## Issue
Fixes bug
[30473](https://github.com/langchain-ai/langchain/issues/30473) where
the `GitbookLoader` would fail to find pages on GitBook sites that use
custom sitemap URLs.
## Dependencies
No new dependencies required.
*I've added*:
* Unit tests to verify the parameter works correctly
* Integration tests to confirm the parameter is properly used with real
GitBook sites
* Updated docstrings with parameter documentation
The changes are fully backward compatible, as the parameter is optional
with a sensible default.

---------

Co-authored-by: andrasfe <andrasf94@gmail.com>
Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
2025-04-01 16:17:21 +00:00
Christophe Bornet
fdda1aaea1
core: Accept ALL ruff rules with exclusions (#30595)
This pull request updates the `pyproject.toml` configuration file to
modify the linting rules and ignored warnings for the project. The most
important changes include switching to a more comprehensive selection of
linting rules and updating the list of ignored rules to better align
with the project's requirements.

Linting rules update:

* Changed the `select` option to include all available linting rules by
setting it to `["ALL"]`.

Ignored rules update:

* Updated the `ignore` option to include specific rules that interfere
with the formatter, are incompatible with Pydantic, or are temporarily
excluded due to project constraints.
2025-04-01 11:17:51 -04:00
Kacper Włodarczyk
26a3256fc6
community[major]: DynamoDBChatMessageHistory bulk add messages, raise errors (#30572)
This PR addresses two key issues:

- **Prevent history errors from failing silently**: Previously, errors
in message history were only logged and not raised, which can lead to
inconsistent state and downstream failures (e.g., ValidationError from
Bedrock due to malformed message history). This change ensures that such
errors are raised explicitly, making them easier to detect and debug.
(Side note: I’m using AWS Lambda Powertools Logger but hadn’t configured
it properly with the standard Python logger—my bad. If the error had
been raised, I would’ve seen it in the logs 😄) This is a **BREAKING
CHANGE**

- **Add messages in bulk instead of iteratively**: This introduces a
custom add_messages method to add all messages at once. The previous
approach failed silently when individual messages were too large,
resulting in partial history updates and inconsistent state. With this
change, either all messages are added successfully, or none are—helping
avoid obscure history-related errors from Bedrock.

---------

Co-authored-by: Kacper Wlodarczyk <kacper.wlodarczyk@chaosgears.com>
2025-04-01 11:13:32 -04:00
Olexandr88
8c8bca68b2
docs: edited the badge to an acceptable size (#30586)
Thank you for contributing to LangChain!

- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, etc. is
being modified. Use "docs: ..." for purely docs 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, eyurtsev, ccurme, vbarda, hwchase17.
2025-04-01 07:17:12 -04:00
Armaanjeet Singh Sandhu
4bbc249b13
community: Fix attribute access for transcript text in YoutubeLoader (Fixes #30309) (#30582)
**Description:** 
Fixes a bug in the YoutubeLoader where FetchedTranscript objects were
not properly processed. The loader was only extracting the 'text'
attribute from FetchedTranscriptSnippet objects while ignoring 'start'
and 'duration' attributes. This would cause a TypeError when the code
later tried to access these missing keys, particularly when using the
CHUNKS format or any code path that needed timestamp information.

This PR modifies the conversion of FetchedTranscriptSnippet objects to
include all necessary attributes, ensuring that the loader works
correctly with all transcript formats.

**Issue:** Fixes #30309

**Dependencies:** None

**Testing:**
- Tested the fix with multiple YouTube videos to confirm it resolves the
issue
- Verified that both regular loading and CHUNKS format work correctly
2025-04-01 07:13:06 -04:00
Ivan Brko
ecff055096
community[minor]: Improve Brave Search Tool, allow api key in env var (#30364)
- **Description:** 

- Make Brave Search Tool consistent with other tools and allow reading
its api key from `BRAVE_SEARCH_API_KEY` instead of having to pass the
api key manually (no breaking changes)
- Improve Brave Search Tool by storing api key in `SecretStr` instead of
plain `str`.
    - Add unit test for `BraveSearchWrapper`
    - Reflect the changes in the documentation
  - **Issue:** N/A
  - **Dependencies:** N/A
  - **Twitter handle:** ivan_brko
2025-03-31 14:48:52 -04:00
ccurme
0c623045b5
core[patch]: pydantic 2.11 compat (#30554)
Release notes: https://pydantic.dev/articles/pydantic-v2-11-release

Covered here:

- We no longer access `model_fields` on class instances (that is now
deprecated);
- Update schema normalization for Pydantic version testing to reflect
changes to generated JSON schema (addition of `"additionalProperties":
True` for dict types with value Any or object).

## Considerations:

### Changes to JSON schema generation

#### Tool-calling / structured outputs

This may impact tool-calling + structured outputs for some providers,
but schema generation only changes if you have parameters of the form
`dict`, `dict[str, Any]`, `dict[str, object]`, etc. If dict parameters
are typed my understanding is there are no changes.

For OpenAI for example, untyped dicts work for structured outputs with
default settings before and after updating Pydantic, and error both
before/after if `strict=True`.

### Use of `model_fields`

There is one spot where we previously accessed `super(cls,
self).model_fields`, where `cls` is an object in the MRO. This was done
for the purpose of tracking aliases in secrets. I've updated this to
always be `type(self).model_fields`-- see comment in-line for detail.

---------

Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com>
2025-03-31 14:22:57 -04:00
keshavshrikant
e8be3cca5c
fix huggingface tokenizer default length function (#30185)
#30184
2025-03-31 11:54:30 -04:00
Fai LAW
4419340039
docs: add pre_filter usage in similarity_search_with_score (Azure Cosmos DB No SQL) (#30508)
`pre_filter` should be passed in the `Hybrid Search with filtering`
example. Otherwise, it is just an unused variable.
2025-03-31 11:33:00 -04:00
Wenqi Li
64f97e707e
ollama[patch]: Support seed param for OllamaLLM (#30553)
**Description:** a description of the change
add the seed param for OllamaLLM client reproducibility

**Issue:** the issue # it fixes, if applicable
follow up of a similar issue
https://github.com/langchain-ai/langchain/issues/24703
see also https://github.com/langchain-ai/langchain/pull/24782

**Dependencies:** any dependencies required for this change
n/a
2025-03-31 11:28:49 -04:00
Christophe Bornet
8395abbb42
core: Fix test_stream_error_callback (#30228)
Fixes #29436

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-03-31 10:37:22 -04:00
Jorge Piedrahita Ortiz
b9e19c5f97
Docs: Add sambanova cloud embeddings docs (#30525)
- **Description:** Add samba nova cloud embeddings docs, only
samabastudio embeddings were supported, now in the latest release of
langchan_sambanova sambanova cloud embeddings is also available
2025-03-31 10:16:15 -04:00
Augusto César Perin
f4d1df1b2d
docs: add missing with_config method to Runnable templates API reference (#30560)
Broken source/docs links for Runnable methods

### What was changed
Added the `with_config` method to the method lists in both Runnable
template files:
- docs/api_reference/templates/runnable_non_pydantic.rst
- docs/api_reference/templates/runnable_pydantic.rst
2025-03-31 10:08:02 -04:00
Christophe Bornet
026de908eb
core: Add ruff rules G, FA, INP, AIR and ISC (#29334)
Fixes mostly for rules G. See
https://docs.astral.sh/ruff/rules/#flake8-logging-format-g
2025-03-31 10:05:23 -04:00
Brayden Zhong
e4515f308f
community: update RankLLM integration and fix LangChain deprecation (#29931)
# Community: update RankLLM integration and fix LangChain deprecation

- [x] **Description:**  
- Removed `ModelType` enum (`VICUNA`, `ZEPHYR`, `GPT`) to align with
RankLLM's latest implementation.
- Updated `chain({query})` to `chain.invoke({query})` to resolve
LangChain 0.1.0 deprecation warnings from
https://github.com/langchain-ai/langchain/pull/29840.

- [x] **Dependencies:** No new dependencies added.  

- [x] **Tests and Docs:**  
- Updated RankLLM documentation
(`docs/docs/integrations/document_transformers/rankllm-reranker.ipynb`).
  - Fixed LangChain usage in related code examples.  

- [x] **Lint and Test:**  
- Ran `make format`, `make lint`, and verified functionality after
updates.
  - No breaking changes introduced.  

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

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

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-31 09:50:00 -04:00
ccurme
b4fe1f1ec0
groq: release 0.3.2 (#30570) 2025-03-31 13:29:45 +00:00
Karol Zmorski
c1acf6f756
docs: Add docs for WatsonxToolkit from langchain-ibm (#30340)
**Description:**

Added docs for `WatsonxToolkit` from `langchain-ibm`:
- Sample notebook

Updated provider file: `ibm.mdx`.
2025-03-31 09:18:37 -04:00
ccurme
9213d94057
docs: update cassettes for chat token usage tracking guide (#30558) 2025-03-30 14:57:15 -04:00
ccurme
9c682af8f3
langchain: release 0.3.22 (#30557)
Closes https://github.com/langchain-ai/langchain/issues/30536
2025-03-30 14:48:22 -04:00
ccurme
08796802ca
docs: keep tutorial runnable in CI (#30556) 2025-03-30 18:34:05 +00:00
William FH
b075eab3e0
Include delayed inputs in langchain tracer (#30546) 2025-03-28 16:07:22 -07:00
Thommy257
372dc7f991
core[patch]: fix loss of partially initialized variables during prompt composition (#30096)
**Description:**
This PR addresses the loss of partially initialised variables when
composing different prompts. I.e. it allows the following snippet to
run:

```python
from langchain_core.prompts import ChatPromptTemplate

prompt = ChatPromptTemplate.from_messages([('system', 'Prompt {x} {y}')]).partial(x='1')
appendix = ChatPromptTemplate.from_messages([('system', 'Appendix {z}')])

(prompt + appendix).invoke({'y': '2', 'z': '3'})
```

Previously, this would have raised a `KeyError`, stating that variable
`x` remains undefined.

**Issue**
References issue #30049

**Todo**
- [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: Eugene Yurtsev <eyurtsev@gmail.com>
2025-03-28 20:41:57 +00:00
Koshik Debanath
e7883d5b9f
langchain-openai: Support token counting for o-series models in ChatOpenAI (#30542)
Related to #30344

Add support for token counting for o-series models in
`test_token_counts.py`.

* **Update `_MODELS` and `_CHAT_MODELS` dictionaries**
- Add "o1", "o3", and "gpt-4o" to `_MODELS` and `_CHAT_MODELS`
dictionaries.

* **Update token counts**
  - Add token counts for "o1", "o3", and "gpt-4o" models.

---

For more details, open the [Copilot Workspace
session](https://copilot-workspace.githubnext.com/langchain-ai/langchain/pull/30542?shareId=ab208bf7-80a3-4b8d-80c4-2287486fedae).
2025-03-28 16:02:09 -04:00
Eugene Yurtsev
d075ad21a0
core[patch]: specify default event loop scope in pyproject.toml (#30543)
Specify default event loop scope
2025-03-28 19:51:19 +00:00
Ahmed Tammaa
f23c3e2444
text-splitters[patch]: Refactor HTMLHeaderTextSplitter for Enhanced Maintainability and Readability (#29397)
Please see PR #27678 for context

## Overview

This pull request presents a refactor of the `HTMLHeaderTextSplitter`
class aimed at improving its maintainability and readability. The
primary enhancements include simplifying the internal structure by
consolidating multiple private helper functions into a single private
method, thereby reducing complexity and making the codebase easier to
understand and extend. Importantly, all existing functionalities and
public interfaces remain unchanged.

## PR Goals

1. **Simplify Internal Logic**:
- **Consolidation of Private Methods**: The original implementation
utilized multiple private helper functions (`_header_level`,
`_dom_depth`, `_get_elements`) to manage different aspects of HTML
parsing and document generation. This fragmentation increased cognitive
load and potential maintenance overhead.
- **Streamlined Processing**: By merging these functionalities into a
single private method (`_generate_documents`), the class now offers a
more straightforward flow, making it easier for developers to trace and
understand the processing steps. (Thanks to @eyurtsev)

2. **Enhance Readability**:
- **Clearer Method Responsibilities**: With fewer private methods, each
method now has a more focused responsibility. The primary logic resides
within `_generate_documents`, which handles both HTML traversal and
document creation in a cohesive manner.
- **Reduced Redundancy**: Eliminating redundant checks and consolidating
logic reduces the code's verbosity, making it more concise without
sacrificing clarity.

3. **Improve Maintainability**:
- **Easier Debugging and Extension**: A simplified internal structure
allows for quicker identification of issues and easier implementation of
future enhancements or feature additions.
- **Consistent Header Management**: The new implementation ensures that
headers are managed consistently within a single context, reducing the
likelihood of bugs related to header scope and hierarchy.

4. **Maintain Backward Compatibility**:
- **Unchanged Public Interface**: All public methods (`split_text`,
`split_text_from_url`, `split_text_from_file`) and their signatures
remain unchanged, ensuring that existing integrations and usage patterns
are unaffected.
- **Preserved Docstrings**: Comprehensive docstrings are retained,
providing clear documentation for users and developers alike.

## Detailed Changes

1. **Removed Redundant Private Methods**:
- **Eliminated `_header_level`, `_dom_depth`, and `_get_elements`**:
These methods were merged into the `_generate_documents` method,
centralizing the logic for HTML parsing and document generation.

2. **Consolidated Document Generation Logic**:
- **Single Private Method `_generate_documents`**: This method now
handles the entire process of parsing HTML, tracking active headers,
managing document chunks, and yielding `Document` instances. This
consolidation reduces the number of moving parts and simplifies the
overall processing flow.

3. **Simplified Header Management**:
- **Immediate Header Scope Handling**: Headers are now managed within
the traversal loop of `_generate_documents`, ensuring that headers are
added or removed from the active headers dictionary in real-time based
on their DOM depth and hierarchy.
- **Removed `chunk_dom_depth` Attribute**: The need to track chunk DOM
depth separately has been eliminated, as header scopes are now directly
managed within the traversal logic.

4. **Streamlined Chunk Finalization**:
- **Enhanced `finalize_chunk` Function**: The chunk finalization process
has been simplified to directly yield a single `Document` when needed,
without maintaining an intermediate list. This change reduces
unnecessary list operations and makes the logic more straightforward.

5. **Improved Variable Naming and Flow**:
- **Descriptive Variable Names**: Variables such as `current_chunk` and
`node_text` provide clear insights into their roles within the
processing logic.
- **Direct Header Removal Logic**: Headers that are out of scope are
removed immediately during traversal, ensuring that the active headers
dictionary remains accurate and up-to-date.

6. **Preserved Comprehensive Docstrings**:
- **Unchanged Documentation**: All existing docstrings, including
class-level and method-level documentation, remain intact. This ensures
that users and developers continue to have access to detailed usage
instructions and method explanations.

## Testing

All existing test cases from `test_html_header_text_splitter.py` have
been executed against the refactored code. The results confirm that:

- **Functionality Remains Intact**: The splitter continues to accurately
parse HTML content, respect header hierarchies, and produce the expected
`Document` objects with correct metadata.
- **Backward Compatibility is Maintained**: No changes were required in
the test cases, and all tests pass without modifications, demonstrating
that the refactor does not introduce any regressions or alter existing
behaviors.


This example remains fully operational and behaves as before, returning
a list of `Document` objects with the expected metadata and content
splits.

## Conclusion

This refactor achieves a more maintainable and readable codebase by
simplifying the internal structure of the `HTMLHeaderTextSplitter`
class. By consolidating multiple private methods into a single, cohesive
private method, the class becomes easier to understand, debug, and
extend. All existing functionalities are preserved, and comprehensive
tests confirm that the refactor maintains the expected behavior. These
changes align with LangChain’s standards for clean, maintainable, and
efficient code.

---

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-03-28 15:36:00 -04:00
Christophe Bornet
86beb64b50
docs: Add doc for Vectorize provider (#30436)
This pull request adds documentation and a tutorial for integrating the
[Vectorize](https://vectorize.io/) service with LangChain. The most
important changes include adding a new documentation page for Vectorize
and creating a Jupyter notebook that demonstrates how to use the
Vectorize retriever.

The source code for the langchain-vectorize package can be found
[here](https://github.com/vectorize-io/integrations-python/tree/main/langchain).

Previews:
*
https://langchain-git-fork-cbornet-vectorize-langchain.vercel.app/docs/integrations/providers/vectorize/
*
https://langchain-git-fork-cbornet-vectorize-langchain.vercel.app/docs/integrations/retrievers/vectorize/

Documentation updates:

*
[`docs/docs/integrations/providers/vectorize.mdx`](diffhunk://#diff-7e00d4ce4768f73b4d381a7c7b1f94d138f1b27ebd08e3666b942630a0285606R1-R40):
Added a new documentation page for Vectorize, including an overview of
its features, installation instructions, and a basic usage example.

Tutorial updates:

*
[`docs/docs/integrations/retrievers/vectorize.ipynb`](diffhunk://#diff-ba5bb9a1b4586db7740944b001bcfeadc88be357640ded0c82a329b11d8d6e29R1-R294):
Created a Jupyter notebook tutorial that shows how to set up the
Vectorize environment, create a RAG pipeline, and use the LangChain
Vectorize retriever. The notebook includes steps for account creation,
token generation, environment setup, and pipeline deployment.
2025-03-28 15:25:21 -04:00
omahs
6f8735592b
docs,langchain-community: Fix typos in docs and code (#30541)
Fix typos
2025-03-28 19:21:16 +00:00
Agus
47d50f49d9
docs: Add GOAT integration to docs (#30478)
This PR adds:
1. Docs for the GOAT integration 
2. An "Agentic Finance" table to the Tools page that includes GOAT

**Twitter handle**: @0xaguspunk
2025-03-28 15:19:37 -04:00
Shixian Sheng
94a7fd2497
docs: fix broken hyperlinks in fireworks integration package README (#30538)
Fix two broken hyperlinks
2025-03-28 15:18:44 -04:00
Oskar Stark
0d2cea747c
docs: streamline LangSmith teasing (#30302)
This can only be reviewed by [hiding
whitespaces](https://github.com/langchain-ai/langchain/pull/30302/files?diff=unified&w=1).

The motivation behind this PR is to get my hands on the docs and make
the LangSmith teasing short and clear.

Right now I don't know how to do it, but this could be an include in the
future.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-03-28 15:13:22 -04:00
Eugene Yurtsev
dd0faab07e fix types 2025-03-28 14:23:50 -04:00
Eugene Yurtsev
21ab1dc675 Merge branch 'master' of github.com:xzq-xu/langchain into xzq-xu/master 2025-03-28 13:56:49 -04:00
Eugene Yurtsev
22cee5d983 x 2025-03-28 13:56:10 -04:00
Eugene Yurtsev
a14d8b103b
Merge branch 'master' into master 2025-03-28 13:53:58 -04:00
Eugene Yurtsev
6d22f40a0b x 2025-03-28 13:51:06 -04:00
Philippe PRADOS
92189c8b31
community[patch]: Handle gray scale images in ImageBlobParser (Fixes 30261 and 29586) (#30493)
Fix [29586](https://github.com/langchain-ai/langchain/issues/29586) and
[30261](https://github.com/langchain-ai/langchain/pull/30261)
2025-03-28 10:15:40 -04:00
小豆豆学长
1f0686db80
community: add netmind integration (#30149)
Co-authored-by: yanrujing <rujing.yan@protagonist-ai.com>
Co-authored-by: ccurme <chester.curme@gmail.com>
2025-03-27 15:27:04 -04:00
Kyungho Byoun
e6b6c07395
community: add HANA dialect to SQLDatabase (#30475)
This PR includes support for HANA dialect in SQLDatabase, which is a
wrapper class for SQLAlchemy.

Currently, it is unable to set schema name when using HANA DB with
Langchain. And, it does not show any message to user so that it makes
hard for user to figure out why the SQL does not work as expected.

Here is the reference document for HANA DB to set schema for the
session.

- [SET SCHEMA Statement (Session
Management)](https://help.sap.com/docs/SAP_HANA_PLATFORM/4fe29514fd584807ac9f2a04f6754767/20fd550375191014b886a338afb4cd5f.html)
2025-03-27 15:19:50 -04:00
Eugene Yurtsev
1cf91a2386
docs: fix llms-txt (#30528)
* Fix trailing slashes
* Fix chat model integration links
2025-03-27 19:02:44 +00:00
Christophe Bornet
e181d43214
core: Bump ruff version to 0.11 (#30519)
Changes are from the new TC006 rule:
https://docs.astral.sh/ruff/rules/runtime-cast-value/
TC006 is auto-fixed.
2025-03-27 13:01:49 -04:00
ccurme
59908f04d4
fireworks: release 0.2.9 (#30527) 2025-03-27 16:04:20 +00:00
ccurme
05482877be
mistralai: release 0.2.10 (#30526) 2025-03-27 16:01:40 +00:00
Andras L Ferenczi
63673b765b
Fix: Enable max_retries Parameter in ChatMistralAI Class (#30448)
**partners: Enable max_retries in ChatMistralAI**

**Description**

- This pull request reactivates the retry logic in the
completion_with_retry method of the ChatMistralAI class, restoring the
intended functionality of the previously ineffective max_retries
parameter. New unit test that mocks failed/successful retry calls and an
integration test to confirm end-to-end functionality.

**Issue**
- Closes #30362

**Dependencies**
- No additional dependencies required

Co-authored-by: andrasfe <andrasf94@gmail.com>
2025-03-27 11:53:44 -04:00
Lakindu Boteju
3aa080c2a8
Fix typos in pdfminer and pymupdf documentations (#30513)
This pull request includes fixes in documentation for PDF loaders to
correct the names of the loaders and the required installations. The
most important changes include updating the loader names and
installation instructions in the Jupyter notebooks.

Documentation fixes:

*
[`docs/docs/integrations/document_loaders/pdfminer.ipynb`](diffhunk://#diff-a4a0561cd4a6e876ea34b7182de64a452060b921bb32d37b02e6a7980a41729bL34-R34):
Changed references from `PyMuPDFLoader` to `PDFMinerLoader` and updated
the installation instructions to replace `pymupdf` with `pdfminer`.
[[1]](diffhunk://#diff-a4a0561cd4a6e876ea34b7182de64a452060b921bb32d37b02e6a7980a41729bL34-R34)
[[2]](diffhunk://#diff-a4a0561cd4a6e876ea34b7182de64a452060b921bb32d37b02e6a7980a41729bL63-R63)
[[3]](diffhunk://#diff-a4a0561cd4a6e876ea34b7182de64a452060b921bb32d37b02e6a7980a41729bL330-R330)

*
[`docs/docs/integrations/document_loaders/pymupdf.ipynb`](diffhunk://#diff-8487995f457e33daa2a08fdcff3b42e144eca069eeadfad5651c7c08cce7a5cdL292-R292):
Corrected the loader name from `PDFPlumberLoader` to `PyMuPDFLoader`.
2025-03-27 11:29:11 -04:00
Miguel Grinberg
14b7d790c1
docs: Restore accidentally deleted docs on Elasticsearch strategies (#30521)
Thank you for contributing to LangChain!

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


- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** Adding back a section of the Elasticsearch
vectorstore documentation that was deleted in [this
commit]([a72fddbf8d (diff-4988344c6ccc08191f89ac1ebf1caab5185e13698d7567fde5352038cd950d77))).
The only change I've made is to update the example RRF request, which
was out of date.


- [ ] **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, eyurtsev, ccurme, vbarda, hwchase17.
2025-03-27 11:27:20 -04:00
ccurme
0b2244ea88
Revert "docs: restore some content to Elasticsearch integration page" (#30523)
Reverts langchain-ai/langchain#30522 in favor of
https://github.com/langchain-ai/langchain/pull/30521.
2025-03-27 15:12:36 +00:00
ccurme
80064893c1
docs: restore some content to Elasticsearch integration page (#30522)
https://github.com/langchain-ai/langchain/pull/24858 standardized vector
store integration pages, but deleted some content.

Here we merge some of the old content back in. We use this version as a
reference:
2c798622cd/docs/docs/integrations/vectorstores/elasticsearch.ipynb
2025-03-27 11:07:19 -04:00
Keiichi Hirobe
956b09f468
core[patch]: stop deleting records with "scoped_full" when doc is empty (#30520)
Fix a bug that causes `scoped_full` in index to delete records when there are no input docs.
2025-03-27 11:04:34 -04:00
Christophe Bornet
b28a474e79
core[patch]: Add ruff rules for PLW (Pylint Warnings) (#29288)
See https://docs.astral.sh/ruff/rules/#warning-w_1

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-03-27 10:26:12 +00:00
xzq.xu
92dc3f7341 format test lint passed 2025-03-27 13:44:59 +08:00
xzq.xu
d0a9808148 modify test name 2025-03-27 13:34:51 +08:00
xzq.xu
ed2428f902 add a unit test 2025-03-27 12:43:16 +08:00
David Sánchez Sánchez
75823d580b
community: fix perplexity response parameters not being included in model response (#30440)
This pull request includes enhancements to the `perplexity.py` file in
the `chat_models` module, focusing on improving the handling of
additional keyword arguments (`additional_kwargs`) in message processing
methods. Additionally, new unit tests have been added to ensure the
correct inclusion of citations, images, and related questions in the
`additional_kwargs`.

Issue: resolves https://github.com/langchain-ai/langchain/issues/30439

Enhancements to `perplexity.py`:

*
[`libs/community/langchain_community/chat_models/perplexity.py`](diffhunk://#diff-d3e4d7b277608683913b53dcfdbd006f0f4a94d110d8b9ac7acf855f1f22207fL208-L212):
Modified the `_convert_delta_to_message_chunk`, `_stream`, and
`_generate` methods to handle `additional_kwargs`, which include
citations, images, and related questions.
[[1]](diffhunk://#diff-d3e4d7b277608683913b53dcfdbd006f0f4a94d110d8b9ac7acf855f1f22207fL208-L212)
[[2]](diffhunk://#diff-d3e4d7b277608683913b53dcfdbd006f0f4a94d110d8b9ac7acf855f1f22207fL277-L286)
[[3]](diffhunk://#diff-d3e4d7b277608683913b53dcfdbd006f0f4a94d110d8b9ac7acf855f1f22207fR324-R331)

New unit tests:

*
[`libs/community/tests/unit_tests/chat_models/test_perplexity.py`](diffhunk://#diff-dab956d79bd7d17a0f5dea3f38ceab0d583b43b63eb1b29138ee9b6b271ba1d9R119-R275):
Added new tests `test_perplexity_stream_includes_citations_and_images`
and `test_perplexity_stream_includes_citations_and_related_questions` to
verify that the `stream` method correctly includes citations, images,
and related questions in the `additional_kwargs`.
2025-03-26 22:28:08 -04:00
Eugene Yurtsev
7664874a0d
docs: llms-txt (#30506)
First just verifying it's included in the manifest
2025-03-26 22:21:59 -04:00
Adeel Ehsan
d7d0bca2bc
docs: add vectara to libs package yml (#30504) 2025-03-26 16:47:53 -04:00
ccurme
3781144710
docs: update doc on token usage tracking (#30505) 2025-03-26 16:13:45 -04:00
ccurme
a9b1e1b177
openai: release 0.3.11 (#30503) 2025-03-26 19:24:37 +00:00
ccurme
8119a7bc5c
openai[patch]: support streaming token counts in AzureChatOpenAI (#30494)
When OpenAI originally released `stream_options` to enable token usage
during streaming, it was not supported in AzureOpenAI. It is now
supported.

Like the [OpenAI
SDK](f66d2e6fdc/src/openai/resources/completions.py (L68)),
ChatOpenAI does not return usage metadata during streaming by default
(which adds an extra chunk to the stream). The OpenAI SDK requires users
to pass `stream_options={"include_usage": True}`. ChatOpenAI implements
a convenience argument `stream_usage: Optional[bool]`, and an attribute
`stream_usage: bool = False`.

Here we extend this to AzureChatOpenAI by moving the `stream_usage`
attribute and `stream_usage` kwarg (on `_(a)stream`) from ChatOpenAI to
BaseChatOpenAI.

---

Additional consideration: we must be sensitive to the number of users
using BaseChatOpenAI to interact with other APIs that do not support the
`stream_options` parameter.

Suppose OpenAI in the future updates the default behavior to stream
token usage. Currently, BaseChatOpenAI only passes `stream_options` if
`stream_usage` is True, so there would be no way to disable this new
default behavior.

To address this, we could update the `stream_usage` attribute to
`Optional[bool] = None`, but this is technically a breaking change (as
currently values of False are not passed to the client). IMO: if / when
this change happens, we could accompany it with this update in a minor
bump.

--- 

Related previous PRs:
- https://github.com/langchain-ai/langchain/pull/22628
- https://github.com/langchain-ai/langchain/pull/22854
- https://github.com/langchain-ai/langchain/pull/23552

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-03-26 15:16:37 -04:00
Adeel Ehsan
56629ed87b
docs: updated the docs for vectara (#30398)
Thank you for contributing to LangChain!

**PR title**: Docs Update for vectara
**Description:** Vectara is moved as langchain partner package and
updating the docs according to that.
2025-03-26 15:02:21 -04:00
ccurme
f68eaab44f
tests: release 0.3.17 (#30502) 2025-03-26 18:56:54 +00:00
Louis Auneau
0b532a4ed0
community: Azure Document Intelligence parser features not available fixed (#30370)
Thank you for contributing to LangChain!

- **Description:** Azure Document Intelligence OCR solution has a
*feature* parameter that enables some features such as high-resolution
document analysis, key-value pairs extraction, ... In langchain parser,
you could be provided as a `analysis_feature` parameter to the
constructor that was passed on the `DocumentIntelligenceClient`.
However, according to the `DocumentIntelligenceClient` [API
Reference](https://learn.microsoft.com/en-us/python/api/azure-ai-documentintelligence/azure.ai.documentintelligence.documentintelligenceclient?view=azure-python),
this is not a valid constructor parameter. It was therefore remove and
instead stored as a parser property that is used in the
`begin_analyze_document`'s `features` parameter (see [API
Reference](https://learn.microsoft.com/en-us/python/api/azure-ai-formrecognizer/azure.ai.formrecognizer.documentanalysisclient?view=azure-python#azure-ai-formrecognizer-documentanalysisclient-begin-analyze-document)).
I also removed the check for "Supported features" since all features are
supported out-of-the-box. Also I did not check if the provided `str`
actually corresponds to the Azure package enumeration of features, since
the `ValueError` when creating the enumeration object is pretty
explicit.
Last caveat, is that some features are not supported for some kind of
documents. This is documented inside Microsoft documentation and
exception are also explicit.
- **Issue:** N/A
- **Dependencies:** No
- **Twitter handle:** @Louis___A

---------

Co-authored-by: Louis Auneau <louis@handshakehealth.co>
2025-03-26 14:40:14 -04:00
Really Him
fbd2e10703
docs: hide jsx in llm chain tutorial (#30187)
## **Description:** 
The Jupyter notebooks in the docs section are extremely useful and
critical for widespread adoption of LangChain amongst new developers.
However, because they are also converted to MDX and used to build the
HTML for the Docusaurus site, they contain JSX code that degrades
readability when opened in a "notebook" setting (local notebook server,
google colab, etc.). For instance, here we see the website, with a nice
React tab component for installation instructions (`pip` vs `conda`):

![Screenshot 2025-03-07 at 2 07
15 PM](https://github.com/user-attachments/assets/a528d618-f5a0-4d2e-9aed-16d4b8148b5a)

Now, here is the same notebook viewed in colab:

![Screenshot 2025-03-07 at 2 08
41 PM](https://github.com/user-attachments/assets/87acf5b7-a3e0-46ac-8126-6cac6eb93586)

Note that the text following "To install LangChain run:" contains
snippets of JSX code that is (i) confusing, (ii) bad for readability,
(iii) potentially misleading for a novice developer, who might take it
literally to mean that "to install LangChain I should run `import Tabs
from...`" and then an ill-formed command which mixes the `pip` and
`conda` installation instructions.

Ideally, we would like to have a system that presents a
similar/equivalent UI when viewing the notebooks on the documentation
site, or when interacting with them in a notebook setting - or, at a
minimum, we should not present ill-formed JSX snippets to someone trying
to execute the notebooks. As the documentation itself states, running
the notebooks yourself is a great way to learn the tools. Therefore,
these distracting and ill-formed snippets are contrary to that goal.

## **Fixes:**
* Comment out the JSX code inside the notebook
`docs/tutorials/llm_chain` with a special directive `<!-- HIDE_IN_NB`
(closed with `HIDE_IN_NB -->`). This makes the JSX code "invisible" when
viewed in a notebook setting.
* Add a custom preprocessor that runs process_cell and just erases these
comment strings. This makes sure they are rendered when converted to
MDX.
* Minor tweak: Refactor some of the Markdown instructions into an
executable codeblock for better experience when running as a notebook.
* Minor tweak: Optionally try to get the environment variables from a
`.env` file in the repo so the user doesn't have to enter it every time.
Depends on the user installing `python-dotenv` and adding their own
`.env` file.
* Add an environment variable for "LANGSMITH_PROJECT"
(default="default"), per the LangSmith docs, so a local user can target
a specific project in their LangSmith account.

**NOTE:** If this PR is approved, and the maintainers agree with the
general goal of aligning the notebook execution experience and the doc
site UI, I would plan to implement this on the rest of the JSX snippets
that are littered in the notebooks.

**NOTE:** I wasn't able to/don't know how to run the linkcheck Makefile
commands.

- [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: Really Him <hesereallyhim@proton.me>
2025-03-26 14:22:33 -04:00
Philippe PRADOS
8e5d2a44ce
community[patch]: update PyPDFParser to take into account filters returned as arrays (#30489)
The image parsing is generating a bug as the the extracted objects for
the /Filter returns sometimes an array, sometimes a string.

Fix [Issue
30098](https://github.com/langchain-ai/langchain/issues/30098)
2025-03-26 14:16:54 -04:00
ccurme
422ba4cde5
infra: handle flaky tests (#30501) 2025-03-26 13:28:56 -04:00
ccurme
9a80be7bb7
core[patch]: release 0.3.49 (#30500) 2025-03-26 13:26:32 -04:00
ccurme
299b222c53
mistral[patch]: check types in adding model_name to response_metadata (#30499) 2025-03-26 16:30:09 +00:00
ccurme
22d1a7d7b6
standard-tests[patch]: require model_name in response_metadata if returns_usage_metadata (#30497)
We are implementing a token-counting callback handler in
`langchain-core` that is intended to work with all chat models
supporting usage metadata. The callback will aggregate usage metadata by
model. This requires responses to include the model name in its
metadata.

To support this, if a model `returns_usage_metadata`, we check that it
includes a string model name in its `response_metadata` in the
`"model_name"` key.

More context: https://github.com/langchain-ai/langchain/pull/30487
2025-03-26 12:20:53 -04:00
Ante Javor
20f82502e5
Community: Add Memgraph integration docs (#30457)
Thank you for contributing to LangChain!

**Description:** 
Since we just implemented
[langchain-memgraph](https://pypi.org/project/langchain-memgraph/)
integration, we are adding basic docs to [your site based on this
comment](https://github.com/langchain-ai/langchain/pull/30197#pullrequestreview-2671616410)
from @ccurme .
   
 **Twitter handle:**
 [@memgraphdb](https://x.com/memgraphdb)


- [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, eyurtsev, ccurme, vbarda, hwchase17.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-26 11:58:09 -04:00
xzq.xu
913c8b71d9 format import 2025-03-26 23:34:38 +08:00
xzq.xu
7e3dea5db8 add a new-line 2025-03-26 23:32:07 +08:00
xzq.xu
d602141ab1 remove unused e 2025-03-26 23:10:41 +08:00
xzq.xu
dd9031fc82 _prep_run_args,tool_input copy, Exception 2025-03-26 23:06:43 +08:00
xzq.xu
3382b0d8ea _prep_run_args,tool_input copy 2025-03-26 22:56:32 +08:00
xzq.xu
e90abce577 Merge remote-tracking branch 'origin/master' 2025-03-26 22:42:15 +08:00
xzq.xu
c127ae9d26 fix the format 2025-03-26 22:41:58 +08:00
xzq.xu
65ecc22606 # Fix: Prevent run_manager from being added to state object 2025-03-26 22:36:31 +08:00
ccurme
7e62e3a137
core[patch]: store model names on usage callback handler (#30487)
So we avoid mingling tokens from different models.
2025-03-25 21:26:09 -04:00
ccurme
32827765bf
core[patch]: mark usage callback handler as beta (#30486) 2025-03-25 23:25:57 +00:00
Eugene Yurtsev
9f345d64fd
core[patch]: Remove old accidental commit (#30483)
Remove commented out file that was accidentally added

Co-authored-by: ccurme <chester.curme@gmail.com>
2025-03-25 15:37:20 -07:00
ccurme
4b9e2e51f3
core[patch]: add token counting callback handler (#30481)
Stripped-down version of
[OpenAICallbackHandler](https://github.com/langchain-ai/langchain/blob/master/libs/community/langchain_community/callbacks/openai_info.py)
that just tracks `AIMessage.usage_metadata`.

```python
from langchain_core.callbacks import get_usage_metadata_callback
from langgraph.prebuilt import create_react_agent

def get_weather(location: str) -> str:
    """Get the weather at a location."""
    return "It's sunny."

tools = [get_weather]
agent = create_react_agent("openai:gpt-4o-mini", tools)

with get_usage_metadata_callback() as cb:
    result = await agent.ainvoke({"messages": "What's the weather in Boston?"})
    print(cb.usage_metadata)
```
2025-03-25 18:16:39 -04:00
pulvedu
1d2b1d8e5e
docs: fix typos in Tavily Docs (#30484)
Thank you for contributing to LangChain!
Small changes to docs

---------

Co-authored-by: pulvedu <dustin@tavily.com>
2025-03-25 18:16:09 -04:00
Christian Jung
19104db7c5
Docs: Fix typo in cookbook (#30485)
Thank you for contributing to LangChain!

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


- [x] **PR message**: ***Delete this entire checklist*** and replace
with
    - **Description:** fix typo
    - **Issue:** -
    - **Dependencies:** -
    - **Twitter handle:** -


- [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, eyurtsev, ccurme, vbarda, hwchase17.
2025-03-25 18:15:29 -04:00
Eugene Yurtsev
0acca6b9c8
core[patch]: Fix handling of title when tool schema is specified manually via JSONSchema (#30479)
Fix issue: https://github.com/langchain-ai/langchain/issues/30456
2025-03-25 15:15:24 -04:00
Ben Chambers
c5e42a4027
community: deprecate graph vector store (#30328)
- **Description:** mark GraphVectorStore `@deprecated`

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-25 13:52:54 +00:00
Ian Muge
a8ce63903d
community: Add edge properties to the gremlin graph schema (#30449)
Description: Extend the gremlin graph schema to include the edge
properties, grouped by its triples; i.e: `inVLabel` and `outVLabel`.
This should give more context when crafting queries to run against a
gremlin graph db
2025-03-24 19:03:01 -04:00
ccurme
b60e6f6efa
community[patch]: update API ref for AmazonTextractPDFParser (#30468) 2025-03-24 23:02:52 +00:00
David Sánchez Sánchez
3ba0d28d8e
community: update perplexity docstring (#30451)
This pull request includes extensive documentation updates for the
`ChatPerplexity` class in the
`libs/community/langchain_community/chat_models/perplexity.py` file. The
changes provide detailed setup instructions, key initialization
arguments, and usage examples for various functionalities of the
`ChatPerplexity` class.

Documentation improvements:

* Added setup instructions for installing the `openai` package and
setting the `PPLX_API_KEY` environment variable.
* Documented key initialization arguments for completion parameters and
client parameters, including `model`, `temperature`, `max_tokens`,
`streaming`, `pplx_api_key`, `request_timeout`, and `max_retries`.
* Provided examples for instantiating the `ChatPerplexity` class,
invoking it with messages, using structured output, invoking with
perplexity-specific parameters, streaming responses, and accessing token
usage and response metadata.Thank you for contributing to LangChain!
2025-03-24 15:01:02 -04:00
Vadym Barda
97dec30eea
docs[patch]: update trim_messages doc (#30462) 2025-03-24 18:50:48 +00:00
ccurme
c2dd8d84ff
infra[patch]: remove pyspark from langchain-community extended testing requirements (#30466) 2025-03-24 14:41:54 -04:00
ccurme
aa30d2d57f
standard-tests: release 0.3.16 (#30464) 2025-03-24 18:35:12 +00:00
ccurme
b09e7c125c
cli: use pytest-watcher (#30465)
pytest-watch is no longer maintained.
2025-03-24 18:06:31 +00:00
David Sánchez Sánchez
d7b13e12ee
community: update perplexity documentation (#30450)
This pull request includes updates to the
`docs/docs/integrations/chat/perplexity.ipynb` file to enhance the
documentation for `ChatPerplexity`. The changes focus on demonstrating
the use of Perplexity-specific parameters and supporting structured
outputs for Tier 3+ users.

Enhancements to documentation:

* Added a new markdown cell explaining the use of Perplexity-specific
parameters through the `ChatPerplexity` class, including parameters like
`search_domain_filter`, `return_images`, `return_related_questions`, and
`search_recency_filter` using the `extra_body` parameter.
* Added a new code cell demonstrating how to invoke `ChatPerplexity`
with the `extra_body` parameter to filter search recency.

Support for structured outputs:

* Added a new markdown cell explaining that `ChatPerplexity` supports
structured outputs for Tier 3+ users.
* Added a new code cell demonstrating how to use `ChatPerplexity` with
structured outputs by defining a `BaseModel` class and invoking the chat
with structured output.[Copilot is generating a summary...]Thank you for
contributing to LangChain!

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-24 13:49:59 -04:00
ccurme
50ec4a1a4f
openai[patch]: attempt to make test less flaky (#30463) 2025-03-24 17:36:36 +00:00
ccurme
8486e0ae80
openai[patch]: bump openai sdk (#30461)
[New required
field](https://github.com/openai/openai-python/pull/2223/files#diff-530fd17eb1cc43440c82630df0ddd9b0893cf14b04065a95e6eef6cd2f766a44R26)
for `ResponseUsage` released in 1.66.5.
2025-03-24 12:10:00 -04:00
ccurme
cbbc968903
openai: release 0.3.10 (#30460) 2025-03-24 15:37:53 +00:00
ccurme
ed5e589191
openai[patch]: support multi-turn computer use (#30410)
Here we accept ToolMessages of the form
```python
ToolMessage(
    content=<representation of screenshot> (see below),
    tool_call_id="abc123",
    additional_kwargs={"type": "computer_call_output"},
)
```
and translate them to `computer_call_output` items for the Responses
API.

We also propagate `reasoning_content` items from AIMessages.

## Example

### Load screenshots
```python
import base64

def load_png_as_base64(file_path):
    with open(file_path, "rb") as image_file:
        encoded_string = base64.b64encode(image_file.read())
        return encoded_string.decode('utf-8')

screenshot_1_base64 = load_png_as_base64("/path/to/screenshot/of/application.png")
screenshot_2_base64 = load_png_as_base64("/path/to/screenshot/of/desktop.png")
```

### Initial message and response
```python
from langchain_core.messages import HumanMessage, ToolMessage
from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="computer-use-preview",
    model_kwargs={"truncation": "auto"},
)

tool = {
    "type": "computer_use_preview",
    "display_width": 1024,
    "display_height": 768,
    "environment": "browser"
}
llm_with_tools = llm.bind_tools([tool])

input_message = HumanMessage(
    content=[
        {
            "type": "text",
            "text": (
                "Click the red X to close and reveal my Desktop. "
                "Proceed, no confirmation needed."
            )
        },
        {
            "type": "input_image",
            "image_url": f"data:image/png;base64,{screenshot_1_base64}",
        }
    ]
)

response = llm_with_tools.invoke(
    [input_message],
    reasoning={
        "generate_summary": "concise",
    },
)
response.additional_kwargs["tool_outputs"]
```

### Construct ToolMessage
```python
tool_call_id = response.additional_kwargs["tool_outputs"][0]["call_id"]

tool_message = ToolMessage(
    content=[
        {
            "type": "input_image",
            "image_url": f"data:image/png;base64,{screenshot_2_base64}"
        }
    ],
    #  content=f"data:image/png;base64,{screenshot_2_base64}",  # <-- also acceptable
    tool_call_id=tool_call_id,
    additional_kwargs={"type": "computer_call_output"},
)
```

### Invoke again
```python
messages = [
    input_message,
    response,
    tool_message,
]

response_2 = llm_with_tools.invoke(
    messages,
    reasoning={
        "generate_summary": "concise",
    },
)
```
2025-03-24 15:25:36 +00:00
Vadym Barda
7bc50730aa
core[patch]: release 0.3.48 (#30458) 2025-03-24 09:48:03 -04:00
Mohammad Mohtashim
33f1ab1528
Youtube Loader load method Fixed (#30314)
- **Description:** Fixed the `YoutubeLoader` loading method not
returning the correct object
- **Issue:** #30309

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2025-03-23 14:48:03 -04:00
Simon Paredes
df4448dfac
langchain-groq: Add response metadata when streaming (#30379)
- **Description:** Add missing `model_name` and `system_fingerprint`
metadata when streaming.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-23 14:34:41 -04:00
Changyong Um
e2d9fe766f
community[tool]: Integrate a tool for the naver_search (#30392)
Hello!
I have reopened a pull request for tool integration.
Please refer to the previous
[PR](https://github.com/langchain-ai/langchain/pull/30248).

I understand that for the tool integration, a separate package should be
created, and only the documentation should be added under docs/docs/. If
there are any other procedures, please let me know.


[langchain-naver-community](https://github.com/e7217/langchain-naver-community)

cc: @ccurme

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-23 14:05:24 -04:00
Jonathan Feng
3848a1371d
langchain-contextual: update provider documentation and add reranker documentation (#30415)
Hi @ccurme!

Thanks so much for helping with getting the Contextual documentation
merged last time. We added the reranker to our provider's documentation!
Please let me know if there's any issues with it! Would love to also
work with your team on an announcement for this! 🙏

Thank you for contributing to LangChain!

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


- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** updates contextual provider documentation to include
information about our reranker, also includes documentation for
contextual's reranker in the retrievers section
    - **Twitter handle:** https://x.com/ContextualAI/highlights


docs have been added


- [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, eyurtsev, ccurme, vbarda, hwchase17.

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2025-03-22 18:09:09 -04:00
ccurme
d867afff1c
docs: update package table ordering (#30437)
Update download counts (only impacts ordering, counts in rendered page
are updated automatically).
2025-03-22 18:07:08 -04:00
Brandon Luu
bbbd4e1db8
docs: Update VectorStoreTab vector store initializations (#30413)
Description: Update vector store tab inits to match either the docs or
api_ref (whichever was more comprehensive)

List of changes per vector stores:

- In-memory
  - no change
- AstraDB
  - match to docs - docs/api_refs match (excluding embeddings)
- Chroma
  - match to docs - api_refs is less descriptive
- FAISS
  - match to docs - docs/api_refs match (excluding embeddings)
- Milvus
- match to docs to use Milvus Lite with Flat index - api_refs does not
have index_param for generalization
- MongoDB
  - match to docs - api_refs are sparser
- PGVector
  - match to api_ref
  - changed to include docker cmd directly in code
- docs/api_ref has comment to view docker command in separate code block
- Pinecone
  - match to api_refs - docs have code dispersed
- Qdrant
  - match to api_ref - docs has size=3072, api_ref has size=1536

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-22 17:29:45 -04:00
Matthew Farrellee
e7032901c3
langchain-tests: allow test_serdes for packages outside the default valid namespaces (#30343)
**Description:**

a third party package not listed in the default valid namespaces cannot
pass test_serdes because the load() does not allow for extending the
valid_namespaces.

test_serdes will fail with -
ValueError: Invalid namespace: {'lc': 1, 'type': 'constructor', 'id':
['langchain_other', 'chat_models', 'ChatOther'], 'kwargs':
{'model_name': '...', 'api_key': '...'}, 'name': 'ChatOther'}

this change has test_serdes automatically extend valid_namespaces based
off the ChatModel under test's namespace.
2025-03-22 17:27:39 -04:00
Jiwon Kang
699475a01d
community: uuidv1 is unsafe (#30432)
this_row_id previously used UUID v1. However, since UUID v1 can be
predicted if the MAC address and timestamp are known, it poses a
potential security risk. Therefore, it has been changed to UUID v4.
2025-03-22 15:27:49 -04:00
Dhruvajyoti Sarma
31551dab40
feature: added warning when duckdb is used as a vectorstore without pandas (#30435)
added warning when duckdb is used as a vectorstore without pandas being
installed (currently used for similarity search result processing)

Thank you for contributing to LangChain!

- [ ] **PR title**: "community: added warning when duckdb is used as a
vectorstore without pandas"


- [ ] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** displays a warning when using duckdb as a vector
store without pandas being installed, as it is used by the
`similarity_search` function
    - **Issue:** #29933 
    - **Dependencies:** None

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-22 19:27:21 +00:00
ccurme
e81b82ee0b
docs: update cassettes (#30434)
Following updates to `draw_mermaid_png`
2025-03-22 12:57:36 -04:00
ccurme
6484635ac3
docs: update cassettes for response metadata guide (#30431)
As of langchain-groq 0.3 ChatGroq requires a model name.

Also update other models.
2025-03-22 07:52:08 -04:00
Cesar Sanz
5383abfeee
Fix incorrect import path for AzureAIChatCompletionsModel (#30417)
Fixes #30416

Correct the import path for `AzureAIChatCompletionsModel` in the
`_init_chat_model_helper` function.

* Update the import statement in
`libs/langchain/langchain/chat_models/base.py` to `from
langchain_azure_ai.chat_models import AzureAIChatCompletionsModel`.

---

For more details, open the [Copilot Workspace
session](https://copilot-workspace.githubnext.com/langchain-ai/langchain/pull/30417?shareId=6ff6d5de-e3d1-4972-8d24-5e74838e9945).
2025-03-22 07:44:51 -04:00
Misakar
7750ad588b
community:ChatLiteLLM support output reasoning content (#30430) 2025-03-22 07:43:33 -04:00
Adrián Panella
b75573e858
core: add tool_call exclusion in filter_message (#30289)
Extend functionallity to allow to filter pairs of tool calls (ai +
tool).

---------

Co-authored-by: vbarda <vadym@langchain.dev>
2025-03-21 23:05:29 +00:00
Vadym Barda
673ec00030
docs[patch]: add warning to token counter docstring (#30426) 2025-03-21 18:59:40 -04:00
Adrián Panella
3933a4abc3
core(mermaid): allow greater customization (#29939)
Adds greater style customization by allowing a custom frontmatter
config. This allows to set a `theme` and `look` or to adjust theme by
setting `themeVariables`

Example:

```python

node_colors = NodeStyles(
    default="fill:#e2e2e2,line-height:1.2,stroke:#616161",
    first="fill:#cfeab8,fill-opacity:0",
    last="fill:#eac3b8",
)

frontmatter_config = {
    "config": {
        "theme": "neutral",
        "look": "handDrawn"
    }
}

graph.get_graph().draw_mermaid_png(node_colors=node_colors, frontmatter_config=frontmatter_config)
```


![image](https://github.com/user-attachments/assets/11b56d30-3be2-482f-8432-3ce704a09552)

---------

Co-authored-by: vbarda <vadym@langchain.dev>
2025-03-21 18:25:26 -04:00
Vadym Barda
07823cd41c
core[patch]: optimize trim_messages (#30327)
Refactored w/ Claude

Up to 20x speedup! (with theoretical max improvement of `O(n / log n)`)
2025-03-21 17:08:26 -04:00
ccurme
b78ae7817e
openai[patch]: trace strict in structured_output_kwargs (#30425) 2025-03-21 14:37:28 -04:00
axiangcoding
428de88398
docs: Update a note about how to track azure openai's token usage when streaming (#30409)
- **Description:** Update a note about how to track azure openai's token
usage when streaming
  - **Issue:** #30390 
  - **Dependencies:** None
  - **Twitter handle:** None

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-21 14:18:50 -04:00
ccurme
1de7fa8f3a
Revert "deepseek: temporarily bypass tests" (#30424)
Reverts langchain-ai/langchain#30423
2025-03-21 17:14:31 +00:00
ccurme
c74dfff836
deepseek: temporarily bypass tests (#30423)
Deepseek infra is not stable enough to get through integration tests.

Previous two attempts had two tests time out, they both pass locally.
2025-03-21 17:08:35 +00:00
ccurme
7147903724
deepseek: release 0.1.3 (#30422) 2025-03-21 16:39:50 +00:00
Andras L Ferenczi
b5f49df86a
partner: ChatDeepSeek on openrouter not returning reasoning (#30240)
Deepseek model does not return reasoning when hosted on openrouter
(Issue [30067](https://github.com/langchain-ai/langchain/issues/30067))

the following code did not return reasoning:

```python
llm = ChatDeepSeek( model = 'deepseek/deepseek-r1:nitro', api_base="https://openrouter.ai/api/v1", api_key=os.getenv("OPENROUTER_API_KEY")) 
messages = [
    {"role": "system", "content": "You are an assistant."},
    {"role": "user", "content": "9.11 and 9.8, which is greater? Explain the reasoning behind this decision."}
]
response = llm.invoke(messages, extra_body={"include_reasoning": True})
print(response.content)
print(f"REASONING: {response.additional_kwargs.get('reasoning_content', '')}")
print(response)
```

The fix is to extract reasoning from
response.choices[0].message["model_extra"] and from
choices[0].delta["reasoning"]. and place in response additional_kwargs.
Change is really just the addition of a couple one-sentence if
statements.

---------

Co-authored-by: andrasfe <andrasf94@gmail.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-21 16:35:37 +00:00
Vadym Barda
4852ab8d0a
core[patch]: more tests for trim_messages (#30421) 2025-03-21 16:19:52 +00:00
ccurme
e8e3b2bfae
ollama: release 0.3.0 (#30420) 2025-03-21 15:50:08 +00:00
Jojo
8f300740ed
docs: fix several typos in docs/docs/how_to/split_html.ipynb (#30407)
Fix several typos in docs/docs/how_to/split_html.ipynb
* `structered` should be `structured`
* `signifcant` should be `significant`
* `seperator` should be `separator`
2025-03-21 11:46:26 -04:00
Jojo
c77ee99980
docs: fix typo in chat_history.ipynb (#30406)
`peristence` should be `persistence`
2025-03-21 11:45:52 -04:00
Jojo
f657b19a24
docs: Fix typo in chat_history.ipynb (#30405)
`repsonse` should be `response`
2025-03-21 11:45:31 -04:00
Bob Merkus
5700646cc5
ollama: add reasoning model support (e.g. deepseek) (#29689)
# Description
This PR adds reasoning model support for `langchain-ollama` by
extracting reasoning token blocks, like those used in deepseek. It was
inspired by
[ollama-deep-researcher](https://github.com/langchain-ai/ollama-deep-researcher),
specifically the parsing of [thinking
blocks](6d1aaf2139/src/assistant/graph.py (L91)):
```python
  # TODO: This is a hack to remove the <think> tags w/ Deepseek models 
  # It appears very challenging to prompt them out of the responses 
  while "<think>" in running_summary and "</think>" in running_summary:
      start = running_summary.find("<think>")
      end = running_summary.find("</think>") + len("</think>")
      running_summary = running_summary[:start] + running_summary[end:]
```

This notes that it is very hard to remove the reasoning block from
prompting, but we actually want the model to reason in order to increase
model performance. This implementation extracts the thinking block, so
the client can still expect a proper message to be returned by
`ChatOllama` (and use the reasoning content separately when desired).

This implementation takes the same approach as
[ChatDeepseek](5d581ba22c/libs/partners/deepseek/langchain_deepseek/chat_models.py (L215)),
which adds the reasoning content to
chunk.additional_kwargs.reasoning_content;
```python
  if hasattr(response.choices[0].message, "reasoning_content"):  # type: ignore
      rtn.generations[0].message.additional_kwargs["reasoning_content"] = (
          response.choices[0].message.reasoning_content  # type: ignore
      )
```

This should probably be handled upstream in ollama + ollama-python, but
this seems like a reasonably effective solution. This is a standalone
example of what is happening;

```python
async def deepseek_message_astream(
    llm: BaseChatModel,
    messages: list[BaseMessage],
    config: RunnableConfig | None = None,
    *,
    model_target: str = "deepseek-r1",
    **kwargs: Any,
) -> AsyncIterator[BaseMessageChunk]:
    """Stream responses from Deepseek models, filtering out <think> tags.

    Args:
        llm: The language model to stream from
        messages: The messages to send to the model

    Yields:
        Filtered chunks from the model response
    """
    # check if the model is deepseek based
    if (llm.name and model_target not in llm.name) or (hasattr(llm, "model") and model_target not in llm.model):
        async for chunk in llm.astream(messages, config=config, **kwargs):
            yield chunk
        return

    # Yield with a buffer, upon completing the <think></think> tags, move them to the reasoning content and start over
    buffer = ""
    async for chunk in llm.astream(messages, config=config, **kwargs):
        # start or append
        if not buffer:
            buffer = chunk.content
        else:
            buffer += chunk.content if hasattr(chunk, "content") else chunk

        # Process buffer to remove <think> tags
        if "<think>" in buffer or "</think>" in buffer:
            if hasattr(chunk, "tool_calls") and chunk.tool_calls:
                raise NotImplementedError("tool calls during reasoning should be removed?")
            if "<think>" in chunk.content or "</think>" in chunk.content:
                continue
            chunk.additional_kwargs["reasoning_content"] = chunk.content
            chunk.content = ""
        # upon block completion, reset the buffer
        if "<think>" in buffer and "</think>" in buffer:
            buffer = ""
        yield chunk

```

# Issue
Integrating reasoning models (e.g. deepseek-r1) into existing LangChain
based workflows is hard due to the thinking blocks that are included in
the message contents. To avoid this, we could match the `ChatOllama`
integration with `ChatDeepseek` to return the reasoning content inside
`message.additional_arguments.reasoning_content` instead.

# Dependenices
None

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2025-03-21 15:44:54 +00:00
ccurme
d8145dda95
xai: release 0.2.2 (#30403) 2025-03-20 20:25:16 +00:00
ccurme
e194902994
mistral: release 0.2.9 (#30402) 2025-03-20 20:22:24 +00:00
ccurme
49466ec9ca
groq: release 0.3.1 (#30401) 2025-03-20 20:19:49 +00:00
ccurme
db1e340387
fireworks: release 0.2.8 (#30400) 2025-03-20 16:15:51 -04:00
ccurme
238f7fb345
docs: add links in Writer provider page (#30399) 2025-03-20 16:13:48 -04:00
ccurme
785a8e7d45
tests: release 0.3.15 (#30397) 2025-03-20 15:38:40 -04:00
1482 changed files with 60684 additions and 35950 deletions

View File

@ -29,14 +29,14 @@ body:
options:
- label: I added a very descriptive title to this issue.
required: true
- label: I searched the LangChain documentation with the integrated search.
required: true
- label: I used the GitHub search to find a similar question and didn't find it.
required: true
- label: I am sure that this is a bug in LangChain rather than my code.
required: true
- label: The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).
required: true
- label: I posted a self-contained, minimal, reproducible example. A maintainer can copy it and run it AS IS.
required: true
- type: textarea
id: reproduction
validations:

View File

@ -38,8 +38,8 @@ IGNORED_PARTNERS = [
]
PY_312_MAX_PACKAGES = [
"libs/partners/huggingface", # https://github.com/pytorch/pytorch/issues/130249
"libs/partners/voyageai",
"libs/partners/chroma", # https://github.com/chroma-core/chroma/issues/4382
]

View File

@ -69,7 +69,7 @@ def main():
clean_target_directories([
p
for p in package_yaml["packages"]
if p["repo"].startswith("langchain-ai/")
if (p["repo"].startswith("langchain-ai/") or p.get("include_in_api_ref"))
and p["repo"] != "langchain-ai/langchain"
])
@ -78,7 +78,7 @@ def main():
p
for p in package_yaml["packages"]
if not p.get("disabled", False)
and p["repo"].startswith("langchain-ai/")
and (p["repo"].startswith("langchain-ai/") or p.get("include_in_api_ref"))
and p["repo"] != "langchain-ai/langchain"
])

View File

@ -76,6 +76,7 @@ jobs:
COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }}
UPSTAGE_API_KEY: ${{ secrets.UPSTAGE_API_KEY }}
XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
PPLX_API_KEY: ${{ secrets.PPLX_API_KEY }}
run: |
make integration_tests

View File

@ -327,6 +327,7 @@ jobs:
FIREWORKS_API_KEY: ${{ secrets.FIREWORKS_API_KEY }}
XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
DEEPSEEK_API_KEY: ${{ secrets.DEEPSEEK_API_KEY }}
PPLX_API_KEY: ${{ secrets.PPLX_API_KEY }}
run: make integration_tests
working-directory: ${{ inputs.working-directory }}
@ -394,8 +395,11 @@ jobs:
# Checkout the latest package files
rm -rf $GITHUB_WORKSPACE/libs/partners/${{ matrix.partner }}/*
cd $GITHUB_WORKSPACE/libs/partners/${{ matrix.partner }}
git checkout "$LATEST_PACKAGE_TAG" -- .
rm -rf $GITHUB_WORKSPACE/libs/standard-tests/*
cd $GITHUB_WORKSPACE/libs/
git checkout "$LATEST_PACKAGE_TAG" -- standard-tests/
git checkout "$LATEST_PACKAGE_TAG" -- partners/${{ matrix.partner }}/
cd partners/${{ matrix.partner }}
# Print as a sanity check
echo "Version number from pyproject.toml: "

View File

@ -26,7 +26,20 @@ jobs:
id: get-unsorted-repos
uses: mikefarah/yq@master
with:
cmd: yq '.packages[].repo' langchain/libs/packages.yml
cmd: |
yq '
.packages[]
| select(
(
(.repo | test("^langchain-ai/"))
and
(.repo != "langchain-ai/langchain")
)
or
(.include_in_api_ref // false)
)
| .repo
' langchain/libs/packages.yml
- name: Parse YAML and checkout repos
env:
@ -38,11 +51,9 @@ jobs:
# Checkout each unique repository that is in langchain-ai org
for repo in $REPOS; do
if [[ "$repo" != "langchain-ai/langchain" && "$repo" == langchain-ai/* ]]; then
REPO_NAME=$(echo $repo | cut -d'/' -f2)
echo "Checking out $repo to $REPO_NAME"
git clone --depth 1 https://github.com/$repo.git $REPO_NAME
fi
REPO_NAME=$(echo $repo | cut -d'/' -f2)
echo "Checking out $repo to $REPO_NAME"
git clone --depth 1 https://github.com/$repo.git $REPO_NAME
done
- name: Setup python ${{ env.PYTHON_VERSION }}

View File

@ -0,0 +1,29 @@
name: Check `langchain-core` version equality
on:
pull_request:
paths:
- 'libs/core/pyproject.toml'
- 'libs/core/langchain_core/version.py'
jobs:
check_version_equality:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Check version equality
run: |
PYPROJECT_VERSION=$(grep -Po '(?<=^version = ")[^"]*' libs/core/pyproject.toml)
VERSION_PY_VERSION=$(grep -Po '(?<=^VERSION = ")[^"]*' libs/core/langchain_core/version.py)
# Compare the two versions
if [ "$PYPROJECT_VERSION" != "$VERSION_PY_VERSION" ]; then
echo "langchain-core versions in pyproject.toml and version.py do not match!"
echo "pyproject.toml version: $PYPROJECT_VERSION"
echo "version.py version: $VERSION_PY_VERSION"
exit 1
else
echo "Versions match: $PYPROJECT_VERSION"
fi

44
.github/workflows/codspeed.yml vendored Normal file
View File

@ -0,0 +1,44 @@
name: CodSpeed
on:
push:
branches:
- master
pull_request:
paths:
- 'libs/core/**'
# `workflow_dispatch` allows CodSpeed to trigger backtest
# performance analysis in order to generate initial data.
workflow_dispatch:
jobs:
codspeed:
name: Run benchmarks
if: (github.event_name == 'pull_request' && contains(github.event.pull_request.labels.*.name, 'run-codspeed-benchmarks')) || github.event_name == 'workflow_dispatch' || github.event_name == 'push'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
# We have to use 3.12, 3.13 is not yet supported
- name: Install uv
uses: astral-sh/setup-uv@v5
with:
python-version: "3.12"
# Using this action is still necessary for CodSpeed to work
- uses: actions/setup-python@v3
with:
python-version: "3.12"
- name: install deps
run: uv sync --group test
working-directory: ./libs/core
- name: Run benchmarks
uses: CodSpeedHQ/action@v3
with:
token: ${{ secrets.CODSPEED_TOKEN }}
run: |
cd libs/core
uv run --no-sync pytest ./tests/benchmarks --codspeed
mode: walltime

View File

@ -6,11 +6,6 @@ on:
push:
branches: [jacob/people]
workflow_dispatch:
inputs:
debug_enabled:
description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)'
required: false
default: 'false'
jobs:
langchain-people:
@ -26,12 +21,6 @@ jobs:
# Ref: https://github.com/actions/runner/issues/2033
- name: Fix git safe.directory in container
run: mkdir -p /home/runner/work/_temp/_github_home && printf "[safe]\n\tdirectory = /github/workspace" > /home/runner/work/_temp/_github_home/.gitconfig
# Allow debugging with tmate
- name: Setup tmate session
uses: mxschmitt/action-tmate@v3
if: ${{ github.event_name == 'workflow_dispatch' && github.event.inputs.debug_enabled == 'true' }}
with:
limit-access-to-actor: true
- uses: ./.github/actions/people
with:
token: ${{ secrets.LANGCHAIN_PEOPLE_GITHUB_TOKEN }}

View File

@ -61,6 +61,7 @@ jobs:
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
FIREWORKS_API_KEY: ${{ secrets.FIREWORKS_API_KEY }}
GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
MISTRAL_API_KEY: ${{ secrets.MISTRAL_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}

View File

@ -145,6 +145,7 @@ jobs:
GOOGLE_API_KEY: ${{ secrets.GOOGLE_API_KEY }}
GOOGLE_SEARCH_API_KEY: ${{ secrets.GOOGLE_SEARCH_API_KEY }}
GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }}
PPLX_API_KEY: ${{ secrets.PPLX_API_KEY }}
run: |
cd langchain/${{ matrix.working-directory }}
make integration_tests

1
.gitignore vendored
View File

@ -59,6 +59,7 @@ coverage.xml
*.py,cover
.hypothesis/
.pytest_cache/
.codspeed/
# Translations
*.mo

View File

@ -15,8 +15,9 @@
[![GitHub star chart](https://img.shields.io/github/stars/langchain-ai/langchain?style=flat-square)](https://star-history.com/#langchain-ai/langchain)
[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langchain?style=flat-square)](https://github.com/langchain-ai/langchain/issues)
[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode&style=flat-square)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/langchain-ai/langchain)
[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/langchain-ai/langchain)
[<img src="https://github.com/codespaces/badge.svg" title="Open in Github Codespace" width="150" height="20">](https://codespaces.new/langchain-ai/langchain)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchainai.svg?style=social&label=Follow%20%40LangChainAI)](https://twitter.com/langchainai)
[![CodSpeed Badge](https://img.shields.io/endpoint?url=https://codspeed.io/badge.json)](https://codspeed.io/langchain-ai/langchain)
> [!NOTE]
> Looking for the JS/TS library? Check out [LangChain.js](https://github.com/langchain-ai/langchainjs).

View File

@ -60,7 +60,7 @@
"id": "CI8Elyc5gBQF"
},
"source": [
"Go to the VertexAI Model Garden on Google Cloud [console](https://pantheon.corp.google.com/vertex-ai/publishers/google/model-garden/335), and deploy the desired version of Gemma to VertexAI. It will take a few minutes, and after the endpoint it ready, you need to copy its number."
"Go to the VertexAI Model Garden on Google Cloud [console](https://pantheon.corp.google.com/vertex-ai/publishers/google/model-garden/335), and deploy the desired version of Gemma to VertexAI. It will take a few minutes, and after the endpoint is ready, you need to copy its number."
]
},
{

View File

@ -30,7 +30,7 @@
"outputs": [],
"source": [
"# lock to 0.10.19 due to a persistent bug in more recent versions\n",
"! pip install \"unstructured[all-docs]==0.10.19\" pillow pydantic lxml pillow matplotlib tiktoken open_clip_torch torch"
"! pip install \"unstructured[all-docs]==0.10.19\" pillow pydantic lxml matplotlib tiktoken open_clip_torch torch"
]
},
{
@ -409,7 +409,7 @@
" table_summaries,\n",
" tables,\n",
" image_summaries,\n",
" image_summaries,\n",
" img_base64_list,\n",
")"
]
},

View File

@ -358,7 +358,7 @@
"id": "6e5cd014-db86-4d6b-8399-25cae3da5570",
"metadata": {},
"source": [
"## Helper function to plot retrived similar images"
"## Helper function to plot retrieved similar images"
]
},
{

View File

@ -11,6 +11,7 @@
import json
import os
import sys
from datetime import datetime
from pathlib import Path
import toml
@ -104,7 +105,7 @@ def skip_private_members(app, what, name, obj, skip, options):
# -- Project information -----------------------------------------------------
project = "🦜🔗 LangChain"
copyright = "2023, LangChain Inc"
copyright = f"{datetime.now().year}, LangChain Inc"
author = "LangChain, Inc"
html_favicon = "_static/img/brand/favicon.png"
@ -275,3 +276,7 @@ if os.environ.get("READTHEDOCS", "") == "True":
html_context["READTHEDOCS"] = True
master_doc = "index"
# If a signatures length in characters exceeds 60,
# each parameter within the signature will be displayed on an individual logical line
maximum_signature_line_length = 60

View File

@ -7,7 +7,7 @@
.. NOTE:: {{objname}} implements the standard :py:class:`Runnable Interface <langchain_core.runnables.base.Runnable>`. 🏃
The :py:class:`Runnable Interface <langchain_core.runnables.base.Runnable>` has additional methods that are available on runnables, such as :py:meth:`with_types <langchain_core.runnables.base.Runnable.with_types>`, :py:meth:`with_retry <langchain_core.runnables.base.Runnable.with_retry>`, :py:meth:`assign <langchain_core.runnables.base.Runnable.assign>`, :py:meth:`bind <langchain_core.runnables.base.Runnable.bind>`, :py:meth:`get_graph <langchain_core.runnables.base.Runnable.get_graph>`, and more.
The :py:class:`Runnable Interface <langchain_core.runnables.base.Runnable>` has additional methods that are available on runnables, such as :py:meth:`with_config <langchain_core.runnables.base.Runnable.with_config>`, :py:meth:`with_types <langchain_core.runnables.base.Runnable.with_types>`, :py:meth:`with_retry <langchain_core.runnables.base.Runnable.with_retry>`, :py:meth:`assign <langchain_core.runnables.base.Runnable.assign>`, :py:meth:`bind <langchain_core.runnables.base.Runnable.bind>`, :py:meth:`get_graph <langchain_core.runnables.base.Runnable.get_graph>`, and more.
{% block attributes %}
{% if attributes %}

View File

@ -19,6 +19,6 @@
.. NOTE:: {{objname}} implements the standard :py:class:`Runnable Interface <langchain_core.runnables.base.Runnable>`. 🏃
The :py:class:`Runnable Interface <langchain_core.runnables.base.Runnable>` has additional methods that are available on runnables, such as :py:meth:`with_types <langchain_core.runnables.base.Runnable.with_types>`, :py:meth:`with_retry <langchain_core.runnables.base.Runnable.with_retry>`, :py:meth:`assign <langchain_core.runnables.base.Runnable.assign>`, :py:meth:`bind <langchain_core.runnables.base.Runnable.bind>`, :py:meth:`get_graph <langchain_core.runnables.base.Runnable.get_graph>`, and more.
The :py:class:`Runnable Interface <langchain_core.runnables.base.Runnable>` has additional methods that are available on runnables, such as :py:meth:`with_config <langchain_core.runnables.base.Runnable.with_config>`, :py:meth:`with_types <langchain_core.runnables.base.Runnable.with_types>`, :py:meth:`with_retry <langchain_core.runnables.base.Runnable.with_retry>`, :py:meth:`assign <langchain_core.runnables.base.Runnable.assign>`, :py:meth:`bind <langchain_core.runnables.base.Runnable.bind>`, :py:meth:`get_graph <langchain_core.runnables.base.Runnable.get_graph>`, and more.
.. example_links:: {{ objname }}

View File

@ -1 +0,0 @@
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@ -1 +1 @@
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