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275 Commits

Author SHA1 Message Date
Erick Friis
df4e0e6d81 x 2024-12-04 17:34:41 -08:00
Chester Curme
0ab8e5cfe0 nit 2024-12-04 16:56:12 -05:00
ccurme
3fe135f242 docs[patch]: add vector store contribution guide (#28518) 2024-12-04 16:26:23 -05:00
ccurme
01045580f9 docs[patch]: add to chat model contributing guide (#28490) 2024-12-03 16:32:50 -05:00
ccurme
fcbca18342 Merge branch 'master' into harrison/improve-integration-docs 2024-12-03 15:31:38 -05:00
ccurme
ff214eb503 Update docs/docs/contributing/how_to/integrations/index.mdx
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-12-03 15:31:20 -05:00
ccurme
ab831ce05c tests[patch]: populate API reference for chat models (#28487)
Populate API reference for test class properties and test methods for
chat models.

Also:
- Make `standard_chat_model_params` private.
- `pytest.skip` some tests that were previously passed if features are
not supported.
2024-12-03 15:24:54 -05:00
Erick Friis
50ddf13692 infra: configurable scheduled tests (#28486) 2024-12-03 12:06:29 -08:00
Erick Friis
a220ee56cd infra: add 20min timeout to ci steps (#28483) 2024-12-03 10:35:57 -08:00
Erick Friis
c74f34cb41 pinecone: release 0.2.1 (version sequence) (#28485) 2024-12-03 10:22:16 -08:00
Audrey Sage Lorberfeld
926e452f44 partners: update version header for Pinecone integration (#28481)
Just need to update the version header used with Pinecone in
recently-merged method (from [this
PR](https://github.com/langchain-ai/langchain/pull/28320/files#r1867820929)).

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-12-03 18:08:56 +00:00
Erick Friis
7315360907 openai: dont populate logit_bias if None (#28482) 2024-12-03 17:54:53 +00:00
Erick Friis
ff675c11f6 partners/pinecone: release 0.2.2 (#28466) 2024-12-03 06:49:35 +00:00
Audrey Sage Lorberfeld
6b7e93d4c7 pinecone: update pinecone client (#28320)
This PR updates the Pinecone client to `5.4.0`, as well as its
dependencies (`pinecone-plugin-inference` and
`pinecone-plugin-interface`).

Note: `pinecone-client` is now simply called `pinecone`.

**Question for reviewer(s):** should this PR also update the `pinecone`
dep in [the root dir's `poetry.lock`
file](https://github.com/langchain-ai/langchain/blob/master/poetry.lock#L6729)?
Was unsure. (I don't believe so b/c it seems pinned to a lower version
likely based on 3rd-party deps (e.g. Unstructured).)

--
TW: @audrey_sage_


---
- To see the specific tasks where the Asana app for GitHub is being
used, see below:
  - https://app.asana.com/0/0/1208693659122374
2024-12-02 22:47:09 -08:00
Erick Friis
000be1f32c tests: init retriever standard tests (#28459) 2024-12-02 23:36:09 +00:00
Erick Friis
42d40d694b partners/openai: release 0.2.11 (#28461) 2024-12-02 23:35:18 +00:00
Erick Friis
9f04416768 openai: set logit_bias to none instead of empty dict by default (#28460) 2024-12-02 15:30:32 -08:00
ccurme
027f49c661 docs[patch]: reorganize integration guides (#28457)
Proposal is:

- Each type of component (chat models, embeddings, etc) has a dedicated
guide.
- This guide contains detail on both implementation and testing via
langchain-tests.
- We delete the monolithic standard-tests guide.
2024-12-02 17:55:57 -05:00
William FH
ecee41ab72 fix: Handle response metadata in merge_messages_runs (#28453) 2024-12-02 13:56:23 -08:00
lucasiscovici
60021e54b5 community: Add the additonnal kward 'context' for openai (#28351)
- **Description:** 
Add the additonnal kward 'context' for openai into
`convert_dict_to_message` and `convert_message_to_dict` functions.
2024-12-02 16:43:30 -05:00
ccurme
28487597b2 ollama[patch]: release 0.2.1 (#28458)
We inadvertently skipped 0.2.1, so release pipeline
[failed](https://github.com/langchain-ai/langchain/actions/runs/12126964367/job/33810204551).
2024-12-02 21:17:51 +00:00
ccurme
88d6d02b59 ollama[patch]: release 0.2.2 (#28456) 2024-12-02 14:57:30 -05:00
Ülgen Sarıkavak
c953f93c54 infra: Update Poetry version, to current latest (1.8.4) (#28194)
Update all Poetry versions to the current latest, 1.8.4 .

I was checking how lock files are managed and found out that even though
the files are generated - updated with the current latest version of
Poetry, the version used in CI and Dockerfile was outdated.

*
https://github.com/langchain-ai/langchain/pull/28061/files#diff-e00422d37a73d07c174e7838ad7c30f642d06305aff8f9d71e1e84c6897efbffL1
*
https://github.com/langchain-ai/langchain/pull/28070/files#diff-55267c883e58892916d5316bc029725fdeeba5a77e2557cf7667793823d9d9c6L1
*
https://github.com/langchain-ai/langchain/pull/27991/files#diff-9f96b8fd39133c3f1d737e013c9042b065b42ae04b3da76902304f30cec136d8R1

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

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-12-02 19:01:13 +00:00
Prithvi Kannan
e5b4f9ad75 docs: Add ChatDatabricks to llm models (#28398)
Thank you for contributing to LangChain!

Add `ChatDatabricks` to the list of LLM models options.

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

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

---------

Signed-off-by: Prithvi Kannan <prithvi.kannan@databricks.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-12-02 13:19:30 -05:00
Riccardo Cocetta
58d2bfe310 docs: fixed a variable name in embeddings section (#28434)
This is a simple change for a variable name in the Embeddings section of
this document:
https://python.langchain.com/docs/tutorials/retrievers/#embeddings .

The variable name `embeddings_model` seems to be wrong and doesn't match
what follows in the template: `embeddings`.
2024-12-02 12:29:06 -05:00
chistokir
e294e7159a Update mistralai.ipynb (#28440)
Just fixing a broken link

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, efriis, eyurtsev, ccurme, vbarda, hwchase17.

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2024-12-02 17:05:28 +00:00
Bagatur
47433485e7 mistral[patch]: Release 0.2.3 (#28452) 2024-12-02 08:26:28 -08:00
Bagatur
49914e959a community[patch]: Release 0.3.9 (#28451) 2024-12-02 16:23:37 +00:00
Harrison Chase
ce6e4bb645 improve integration docs 2024-11-29 12:40:35 -05:00
ccurme
c2f1d022a2 mistral[patch]: ensure tool call IDs in tool messages are correctly formatted (#28422)
Fixes tests for cross-provider compatibility:
https://github.com/langchain-ai/langchain/actions/runs/12085358877/job/33702420504#step:10:376
2024-11-29 13:56:06 +00:00
Alex Thomas
2813e86407 docs: Adds the langchain-neo4j package to the API docs (#28386)
This PR adds the `langchain-neo4j` package to the `libs/packages.yml` so
the API docs can be built.
2024-11-27 12:41:12 -08:00
Bagatur
b7e10bb199 langchain[patch]: Release 0.3.9 (#28399) 2024-11-27 20:06:11 +00:00
ccurme
a8b21afc08 qdrant[patch]: run python 3.13 in CI (#28394) 2024-11-27 12:22:17 -05:00
ccurme
ee6fc3f3f6 nomic[patch]: run python 3.13 in CI (#28393) 2024-11-27 17:08:15 +00:00
Massimiliano Pronesti
83586661d6 partners[chroma]: add retrieval of embedding vectors (#28290)
This PR adds an additional method to `Chroma` to retrieve the embedding
vectors, besides the most relevant Documents. This is sometimes of use
when you need to run a postprocessing algorithm on the retrieved results
based on the vectors, which has been the case for me lately.

Example issue (discussion) requesting this change:
https://github.com/langchain-ai/langchain/discussions/20383

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2024-11-27 16:34:02 +00:00
ccurme
733a6ad328 mistral[patch]: run python 3.13 in CI (#28392) 2024-11-27 11:29:04 -05:00
ccurme
b9bf7fd797 couchbase[patch]: run python 3.13 in CI (#28391) 2024-11-27 11:28:21 -05:00
Greg Hinch
5141f25a20 community[patch]: support numpy2 (#28184)
Follows on from #27991, updates the langchain-community package to
support numpy 2 versions

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-11-27 11:10:58 -05:00
LuisMSotamba
0901f11b0f community: add truncation params when an openai assistant's run is created (#28158)
**Description:** When an OpenAI assistant is invoked, it creates a run
by default, allowing users to set only a few request fields. The
truncation strategy is set to auto, which includes previous messages in
the thread along with the current question until the context length is
reached. This causes token usage to grow incrementally:
consumed_tokens = previous_consumed_tokens + current_consumed_tokens.

This PR adds support for user-defined truncation strategies, giving
better control over token consumption.

**Issue:** High token consumption.
2024-11-27 10:53:53 -05:00
Pratool Bharti
c09000f20e Building RAG agents locally using open source LLMs on Intel CPU (#28302)
**Description:** Added a cookbook that showcase how to build a RAG agent
pipeline locally using open-source LLM and embedding models on Intel
Xeon CPU. It uses Llama 3.1:8B model from Ollama for LLM and
nomic-embed-text-v1.5 from NomicEmbeddings for embeddings. The whole
experiment is developed and tested on Intel 4th Gen Xeon Scalable CPU.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-11-27 15:40:09 +00:00
TheDannyG
607c60a594 partners/ollama: fix tool calling with nested schemas (#28225)
## Description

This PR addresses the following:

**Fixes Issue #25343:**
- Adds additional logic to parse shallowly nested JSON-encoded strings
in tool call arguments, allowing for proper parsing of responses like
that of Llama3.1 and 3.2 with nested schemas.
 
**Adds Integration Test for Fix:**
- Adds a Ollama specific integration test to ensure the issue is
resolved and to prevent regressions in the future.

**Fixes Failing Integration Tests:**
- Fixes failing integration tests (even prior to changes) caused by
`llama3-groq-tool-use` model. Previously,
tests`test_structured_output_async` and
`test_structured_output_optional_param` failed due to the model not
issuing a tool call in the response. Resolved by switching to
`llama3.1`.

## Issue
Fixes #25343.

## Dependencies
No dependencies.

____

Done in collaboration with @ishaan-upadhyay @mirajismail @ZackSteine.
2024-11-27 10:32:02 -05:00
ccurme
bb83abd037 community[patch]: remove sqlalchemy cap (#28389) 2024-11-27 10:20:36 -05:00
ccurme
51e98a5548 docs[patch]: fix typo in embeddings tab (#28388) 2024-11-27 10:05:06 -05:00
ccurme
42b8ad067d chroma[patch]: test python 3.13 in CI (#28387) 2024-11-27 15:02:40 +00:00
Kunal Pathak
85b8cecb6f docs: fix typo in embedding vectors documentation (#28378)
**Description:** Fixed a grammatical error in the documentation section
on embedding vectors. Replaced "Embedding vectors can be comparing" with
"Embedding vectors can be compared."

**Issue:** N/A (This is a minor documentation fix with no linked issue.)

**Dependencies:** None.
2024-11-27 09:52:40 -05:00
William FH
585da22752 Init embeddings (#28370) 2024-11-27 08:25:10 +00:00
Bagatur
ffe7bd4832 langchain[patch]: init_chat_model provider in model string (#28367)
```python
llm = init_chat_model("openai:gpt-4o")
```
2024-11-27 00:20:25 -08:00
ccurme
8adc4a5bcc langchain[patch]: update deprecation message for agent classes and constructors (#28369) 2024-11-26 16:07:13 -05:00
Kiril Buga
ec205fcee0 Updated docs for the BM25 preprocessing function (#28101)
- [x] **PR title**: "docs: add explanation for preprocessing function"


- [x] **PR message**: 
- **Description:** Extending the BM25 description and demonstrating the
preprocessing function
    - **Dependencies:** nltk
    - **Twitter handle:** @kirilbuga

@efriis
@baskaryan
@vbarda
@ccurme

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-11-26 14:59:15 -05:00
Mohammad Mohtashim
06fafc6651 Community: Marqo Index Setting GET Request Updated according to 2.x API version while keep backward compatability for 1.5.x (#28342)
- **Description:** `add_texts` was using `get_setting` for marqo client
which was being used according to 1.5.x API version. However, this PR
updates the `add_text` accounting for updated response payload for 2.x
and later while maintaining backward compatibility. Plus I have verified
this was the only place where marqo client was not accounting for
updated API version.
  - **Issue:** #28323

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2024-11-26 18:26:56 +00:00
willtai
7d95a10ada langchain: Fix Neo4jVector vector store reference from partner package for self query (#28292)
_This should only be merged once neo4j is included under libs/partners._

# **Description:**

Neo4jVector from langchain-community is being moved to langchain-neo4j:
[see
link](https://github.com/langchain-ai/langchain-neo4j/blob/main/libs/neo4j/langchain_neo4j/vectorstores/neo4j_vector.py#L436).

To solve the issue below, this PR adds an attempt to import
`Neo4jVector` from the partner package `langchain-neo4j`, similarly to
the other partner packages.

# **Issue:**
When initializing `SelfQueryRetriever`, the following error is raised:

```
ValueError: Self query retriever with Vector Store type <class 'langchain_neo4j.vectorstores.neo4j_vector.Neo4jVector'> not supported.
```

[See related
issue](https://github.com/langchain-ai/langchain/issues/19748).

# **Dependencies:**
- langchain-neo4j
2024-11-26 13:21:04 -05:00
ccurme
a1c90794e1 ollama[patch]: bump to 0.4.1 in lock file (#28365) 2024-11-26 18:19:31 +00:00
ccurme
74d9d2cba1 ollama[patch]: support ollama 0.4 (#28364)
v0.4 of the Python SDK is already installed via the lock file in CI, but
our current implementation is not compatible with it.

This also addresses an issue introduced in
https://github.com/langchain-ai/langchain/pull/28299. @RyanMagnuson
would you mind explaining the motivation for that change? From what I
can tell the Ollama SDK [does not support
kwargs](6c44bb2729/ollama/_client.py (L286)).
Previously, unsupported kwargs were ignored, but they currently raise
`TypeError`.

Some of LangChain's standard test suite expects `tool_choice` to be
supported, so here we catch it in `bind_tools` so it is ignored and not
passed through to the client.
2024-11-26 12:45:59 -05:00
Bagatur
e9c16552fa openai[patch]: bump core dep (#28361) 2024-11-26 08:37:05 -08:00
Bagatur
e7dc26aefb openai[patch]: Release 0.2.10 (#28360) 2024-11-26 08:30:29 -08:00
ccurme
42b18824c2 openai[patch]: use max_completion_tokens in place of max_tokens (#26917)
`max_tokens` is deprecated:
https://platform.openai.com/docs/api-reference/chat/create#chat-create-max_tokens

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-11-26 16:30:19 +00:00
Greg Hinch
869c8f5879 langchain[patch]: support numpy 2 (#28183)
Follows on from #27991, updates the langchain package to support numpy 2
versions

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-11-26 11:20:02 -05:00
ccurme
7b9a0d9ed8 docs: update tutorials (#28219) 2024-11-26 10:43:12 -05:00
ccurme
a97c53e7c2 docs[patch]: fix broken anchor link (#28358) 2024-11-26 10:12:44 -05:00
Richard Hao
c161f7d46f docs(create_sql_agent): fix reStructured Text Markup (#28356)
- **Description:** Lines of code must be indented beneath `..
code-block::` for proper formatting.
https://devguide.python.org/documentation/markup/#showing-code-examples
- **Issue:** The example code block on the `create_sql_agent` document
page is not properly rendered.

https://python.langchain.com/api_reference/community/agent_toolkits/langchain_community.agent_toolkits.sql.base.create_sql_agent.html#langchain_community.agent_toolkits.sql.base.create_sql_agent

<img width="933" alt="image"
src="https://github.com/user-attachments/assets/d764bcad-e412-408b-ab0b-9a78a11188ee">
2024-11-26 09:52:16 -05:00
Mohammad Mohtashim
195ae7baa3 Community: Adding citations in AIMessage for ChatPerplexity (#28321)
**Description**: Adding Citation in response payload of ChatPerplexity
**Issue**: #28108
2024-11-26 09:45:47 -05:00
Ikko Eltociear Ashimine
aa2c17b56c docs: update azure_openai_whisper_parser.ipynb (#28327)
conjuction -> conjunction
2024-11-25 15:59:40 -05:00
ccurme
a5374952f8 community[patch]: fix import in test (#28339)
Library name was updated after
https://github.com/langchain-ai/langchain/pull/27879 branched off
master.
2024-11-25 19:28:01 +00:00
Alex Thomas
5867f25ff3 community[patch]: Neo4j community deprecation (#28130)
Adds deprecation notices for Neo4j components moving to the
`langchain_neo4j` partner package.

- Adds deprecation warnings to all Neo4j-related classes and functions
that have been migrated to the new `langchain_neo4j` partner package
- Updates documentation to reference the new `langchain_neo4j` package
instead of `langchain_community`
2024-11-25 10:34:22 -08:00
Yan
c60695a1c7 community: fixed critical bugs at Writer provider (#27879) 2024-11-25 12:03:37 -05:00
Yelin Zhang
6ed2d387bb docs: fix GOOGLE_API_KEY typo (#28322)
fix small GOOGLE_API_KEY markdown formatting typo
2024-11-25 09:45:22 -05:00
ccurme
a83357dc5a community[patch]: release 0.3.8 (#28316) 2024-11-23 08:21:21 -05:00
ccurme
82bb0cdfff langchain[patch]: release 0.3.8 (#28315) 2024-11-23 13:02:10 +00:00
ccurme
f5f1149257 core[patch]: release 0.3.21 (#28314) 2024-11-23 12:46:56 +00:00
Erick Friis
7170a4e3e1 docs: standard test api link (#28309) 2024-11-23 04:02:56 +00:00
Eugene Yurtsev
563587e14f langchain[patch]: Compat with pydantic 2.10 (#28307)
pydantic compat 2.10 for langchain
2024-11-23 03:21:27 +00:00
Eugene Yurtsev
a813d11c14 core[patch]: Compat pydantic 2.10 (#28308)
pydantic 2.10 compat for langchain-core
2024-11-22 21:44:55 -05:00
ZhangShenao
ed84d48eef [Doc] Improvement: fix import statement for qdrant (#28286)
- fix import statement for qdrant
- issue: https://github.com/langchain-ai/langchain/issues/28012

#28012
2024-11-22 21:43:01 -05:00
Erick Friis
a3296479a0 docs: integration asyncio mode (#28306) 2024-11-23 02:18:53 +00:00
Erick Friis
39fd0fd196 infra: more rst (#28305) 2024-11-22 17:50:42 -08:00
ccurme
25a636c597 langchain[patch]: update deprecation message for MapReduceChain (#28304)
Link migration guide first.
2024-11-23 00:47:52 +00:00
Erick Friis
242e9fc865 infra: install standard tests in docs build (#28303) 2024-11-22 15:49:10 -08:00
ccurme
203d20caa5 community[patch]: fix errors introduced by pydantic 2.10 (#28297) 2024-11-22 17:50:13 -05:00
Erick Friis
aa7fa80e1e partners/ollama: release 0.2.2rc1 (#28300) 2024-11-22 22:25:05 +00:00
Erick Friis
7277794a59 ollama: include kwargs in requests (#28299)
courtesy of @ryanmagnuson
2024-11-22 14:15:42 -08:00
Pat Patterson
2ee37a1c7b community: list valid values for LanceDB constructor's mode argument (#28296)
**Description:**

Currently, the docstring for `LanceDB.__init__()` provides the default
value for `mode`, but not the list of valid values. This PR adds that
list to the docstring.

**Issue:**

N/A

**Dependencies:**

N/A

**Twitter handle:**

`@metadaddy`

[Leaving as a reminder: If no one reviews your PR within a few days,
please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda,
hwchase17.]
2024-11-22 15:40:06 -05:00
ccurme
697dda5052 core[patch]: release 0.3.20 (#28293) 2024-11-22 14:04:29 -05:00
ccurme
a433039a56 core[patch]: support final AIMessage responses in tool_example_to_messages (#28267)
We have a test
[test_structured_few_shot_examples](ad4333ca03/libs/standard-tests/langchain_tests/integration_tests/chat_models.py (L546))
in standard integration tests that implements a version of tool-calling
few shot examples that works with ~all tested providers. The formulation
supported by ~all providers is: `human message, tool call, tool message,
AI reponse`.

Here we update
`langchain_core.utils.function_calling.tool_example_to_messages` to
support this formulation.

The `tool_example_to_messages` util is undocumented outside of our API
reference. IMO, if we are testing that this function works across all
providers, it can be helpful to feature it in our guides. The structured
few-shot examples we document at the moment require users to implement
this function and can be simplified.
2024-11-22 15:38:49 +00:00
Manuel
a5fcbe69eb docs: correct HuggingFaceEmbeddings documentation model param (#28269)
- **Description:** Corrected the parameter name in the
HuggingFaceEmbeddings documentation under integrations/text_embedding/
from model to model_name to align with the actual code usage in the
langchain_huggingface package.
- **Issue:** Fixes #28231
- **Dependencies:** None
2024-11-22 09:59:33 -05:00
Erick Friis
65deeddd5d docs: poetry publish 3 (#28280) 2024-11-22 05:14:28 +00:00
Erick Friis
29f8a79ebe groq,openai,mistralai: fix unit tests (#28279) 2024-11-22 04:54:01 +00:00
Erick Friis
9a717c9b32 docs: poetry publish 2 (#28277)
- **docs: poetry publish**
- **x**
- **x**
- **x**
- **x**
- **x**
- **x**
- **x**
- **x**
- **x**
2024-11-21 20:49:38 -08:00
Erick Friis
4ccb3e64c7 cli: release 0.0.33 (#28278) 2024-11-21 20:13:37 -08:00
Prithvi Kannan
2917f8573f docs: Update langchain docs to new Databricks package (#28274)
Thank you for contributing to LangChain!

Ctrl+F to find instances of `langchain-databricks` and replace with
`databricks-langchain`.

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

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

Signed-off-by: Prithvi Kannan <prithvi.kannan@databricks.com>
2024-11-21 20:03:28 -08:00
Erick Friis
49254cde70 docs: poetry publish (#28275) 2024-11-22 03:10:03 +00:00
Erick Friis
f173b72e35 api-docs: add standard tests package to build 2 (#28273) 2024-11-21 15:40:48 -08:00
Erick Friis
45402d1a20 api-docs: add standard tests package to build (#28272) 2024-11-21 15:35:47 -08:00
Erick Friis
b3ee1f8713 core: add space at end of error message link (#28270) 2024-11-21 22:19:59 +00:00
Erick Friis
5bc2df3060 standard-tests: troubleshooting docstrings (#28268) 2024-11-21 22:05:31 +00:00
Erick Friis
ad4333ca03 infra: disable vertex api build (#28266) 2024-11-21 10:37:17 -08:00
Erick Friis
69a706adff infra: fix api docs build (#28264) 2024-11-21 10:25:52 -08:00
ccurme
56499cf58b openai[patch]: unskip test and relax tolerance in embeddings comparison (#28262)
From what I can tell response using SDK is not deterministic:
```python
import numpy as np
import openai

documents = ["disallowed special token '<|endoftext|>'"]
model = "text-embedding-ada-002"

direct_output_1 = (
    openai.OpenAI()
    .embeddings.create(input=documents, model=model)
    .data[0]
    .embedding
)

for i in range(10):
    direct_output_2 = (
        openai.OpenAI()
        .embeddings.create(input=documents, model=model)
        .data[0]
        .embedding
    )
    print(f"{i}: {np.isclose(direct_output_1, direct_output_2).all()}")
```
```
0: True
1: True
2: True
3: True
4: False
5: True
6: True
7: True
8: True
9: True
```

See related discussion here:
https://community.openai.com/t/can-text-embedding-ada-002-be-made-deterministic/318054

Found the same result using `"text-embedding-3-small"`.
2024-11-21 10:23:10 -08:00
Priyanshi Garg
f5f53d1101 community: fix compatibility issue in kinetica chat model integration for Pydantic 2 (#28252)
Fixed a compatibility issue in the `load_messages_from_context()`
function for the Kinetica chat model integration. The issue was caused
by stricter validation introduced in Pydantic 2.
2024-11-21 09:33:00 -05:00
Erick Friis
96c67230aa docs: standard test version badge (#28247) 2024-11-21 04:00:04 +00:00
Erick Friis
d1108607f4 multiple: push deprecation removals to 1.0 (#28236) 2024-11-20 19:56:29 -08:00
Erick Friis
4f76246cf2 standard-tests: release 0.3.4 (#28245) 2024-11-20 19:35:58 -08:00
Erick Friis
4bdf1d7d1a standard-tests: fix decorator init test (#28246) 2024-11-21 03:35:43 +00:00
Erick Friis
60e572f591 standard-tests: tool tests (#28244) 2024-11-20 19:26:16 -08:00
Erick Friis
35e6052df5 infra: remove stale dockerfiles from repo (#28243)
deleting the following docker things from monorepo. they aren't
currently usable because of old dependencies, and I'd rather avoid
people using them / having to maintain them

- /docker
- this folder has a compose file that spins up postgres,pgvector
(separate from postgres and very stale version),mongo instance with
default user/password that we've gotten security pings about before. not
worth having
- also spins up a custom dockerfile with onttotext/graphdb - not even
sure what that is
- /libs/langchain/dockerfile + dev.dockerfile
  - super old poetry version, doesn't implement the right thing anymore
- .github/workflows/_release_docker.yml, langchain_release_docker.yml
  - not used anymore, not worth having an alternate release path
2024-11-21 00:05:01 +00:00
Erick Friis
161ab736ce standard-tests: release 0.3.3 (#28242) 2024-11-20 23:47:02 +00:00
Erick Friis
8738973267 docs: vectorstore standard tests (#28241) 2024-11-20 23:38:08 +00:00
Eugene Yurtsev
2acc83f146 mistralai[patch]: 0.2.2 release (#28240)
mistralai 0.2.2 release
2024-11-20 22:18:15 +00:00
Eugene Yurtsev
1a66175e38 mistral[patch]: Propagate tool call id (#28238)
mistralai-large-2411 requires tool call id

Older models accept tool call id if its provided

mistral-large-2407 
mistral-large-2402
2024-11-20 17:02:30 -05:00
shroominic
dee72c46c1 community: Outlines integration (#27449)
In collaboration with @rlouf I build an
[outlines](https://dottxt-ai.github.io/outlines/latest/) integration for
langchain!

I think this is really useful for doing any type of structured output
locally.
[Dottxt](https://dottxt.co) spend alot of work optimising this process
at a lower level
([outlines-core](https://pypi.org/project/outlines-core/0.1.14/) written
in rust) so I think this is a better alternative over all current
approaches in langchain to do structured output.
It also implements the `.with_structured_output` method so it should be
a drop in replacement for a lot of applications.

The integration includes:
- **Outlines LLM class**
- **ChatOutlines class**
- **Tutorial Cookbooks**
- **Documentation Page**
- **Validation and error messages** 
- **Exposes Outlines Structured output features**
- **Support for multiple backends**
- **Integration and Unit Tests**

Dependencies: `outlines` + additional (depending on backend used)

I am not sure if the unit-tests comply with all requirements, if not I
suggest to just remove them since I don't see a useful way to do it
differently.

### Quick overview:

Chat Models:
<img width="698" alt="image"
src="https://github.com/user-attachments/assets/05a499b9-858c-4397-a9ff-165c2b3e7acc">

Structured Output:
<img width="955" alt="image"
src="https://github.com/user-attachments/assets/b9fcac11-d3e5-4698-b1ae-8c4cb3d54c45">

---------

Co-authored-by: Vadym Barda <vadym@langchain.dev>
2024-11-20 16:31:31 -05:00
Mikelarg
2901fa20cc community: Add deprecation warning for GigaChat integration in langchain-community (#28022)
- **Description:** We have released the
[langchain-gigachat](https://github.com/ai-forever/langchain-gigachat?tab=readme-ov-file)
with new GigaChat integration that support's function/tool calling. This
PR deprecated legacy GigaChat class in community package.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-20 21:03:47 +00:00
Renzo-vS
567dc1e422 community: fix duplicate content (#28003)
Thank you for reading my first PR!

**Description:**
Deduplicate content in AzureSearch vectorstore.
Currently, by default, the content of the retrieval is placed both in
metadata and page_content of a Document.
This PR removes the content from metadata, and leaves it in
page_content.

**Issue:**:
Previously, the content was popped from result before metadata was
populated.
In #25828 , the order was changed which leads to a response with
duplicated content.
This was not the intention of that PR and seems undesirable.

Looking forward to seeing my contribution in the next version!

Cheers, 
Renzo
2024-11-20 12:49:03 -08:00
Jorge Piedrahita Ortiz
abaea28417 community: SamabanovaCloud tool calling and Structured output (#27967)
**Description:** Add tool calling and structured output support for
SambaNovaCloud chat models, docs included

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-20 19:12:08 +00:00
ccurme
cb32bab69d docs: update notebook env dependencies (#28221) 2024-11-20 14:10:42 -05:00
af su
7c7ee07d30 huggingface[fix]: HuggingFaceEndpointEmbeddings model parameter passing error when async embed (#27953)
This change refines the handling of _model_kwargs in POST requests.
Instead of nesting _model_kwargs as a dictionary under the parameters
key, it is now directly unpacked and merged into the request's JSON
payload. This ensures that the model parameters are passed correctly and
avoids unnecessary nesting.E. g.:

```python
import asyncio

from langchain_huggingface.embeddings import HuggingFaceEndpointEmbeddings

embedding_input = ["This input will get multiplied" * 10000]

embeddings = HuggingFaceEndpointEmbeddings(
    model="http://127.0.0.1:8081/embed",
    model_kwargs={"truncate": True},
)

# Truncated parameters in synchronized methods are handled correctly
embeddings.embed_documents(texts=embedding_input)
# The truncate parameter is not handled correctly in the asynchronous method,
# and 413 Request Entity Too Large is returned.
asyncio.run(embeddings.aembed_documents(texts=embedding_input))
```

Co-authored-by: af su <saf@zjuici.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-20 19:08:56 +00:00
Eric Pinzur
923ef85105 langchain_chroma: fixed integration tests (#27968)
Description:
* I'm planning to add `Document.id` support to the Chroma VectorStore,
but first I wanted to make sure all the integration tests were passing
first. They weren't. This PR fixes the broken tests.
* I found 2 issues:
* This change (from a year ago, exactly :) ) for supporting multi-modal
embeddings:
https://docs.trychroma.com/deployment/migration#migration-to-0.4.16---november-7,-2023
* This change https://github.com/langchain-ai/langchain/pull/27827 due
to an update in the chroma client.
  
Also ran `format` and `lint` on the changes.

Note: I am not a member of the Chroma team.
2024-11-20 11:05:02 -08:00
CLOVA Studio 개발
218b4e073e community: fix some features on Naver ChatModel & embedding model (#28228)
# Description

- adding stopReason to response_metadata to call stream and astream
- excluding NCP_APIGW_API_KEY input required validation
- to remove warning Field "model_name" has conflict with protected
namespace "model_".

cc. @vbarda
2024-11-20 10:35:41 -08:00
Erick Friis
4da35623af docs: formatting fix (#28235) 2024-11-20 18:08:47 +00:00
Erick Friis
43e24cd4a1 docs, standard-tests: property tags, support tool decorator (#28234) 2024-11-20 17:19:03 +00:00
Soham Das
4027da1b6e docs: fix typo in migration guide: migrate_agent.ipynb (#28227)
PR Title: `docs: fix typo in migration guide`

PR Message:
- **Description**: This PR fixes a small typo in the "How to Migrate
from Legacy LangChain Agents to LangGraph" guide. "In this cases" -> "In
this case"
- **Issue**: N/A (no issue linked for this typo fix)
- **Dependencies**: None
- **Twitter handle**: N/A
2024-11-20 11:44:22 -05:00
Erick Friis
16918842bf docs: add conceptual testing docs (#28205) 2024-11-19 22:46:26 +00:00
Lance Martin
6bda89f9a1 Clarify bind tools takes a list (#28222)
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, efriis, eyurtsev, ccurme, vbarda, hwchase17.
2024-11-19 12:59:10 -08:00
William FH
197b885911 [CLI] Relax constraints (#28218) 2024-11-19 09:31:56 -08:00
Eugene Yurtsev
5599a0a537 core[minor]: Add other langgraph packages to sys_info (#28190)
Add other langgraph packages to sys_info output
2024-11-19 09:20:25 -05:00
Erick Friis
97f752c92d docs: more standard test stubs (#28202) 2024-11-19 03:59:52 +00:00
Erick Friis
0a06732d3e docs: links in integration contrib (#28200) 2024-11-19 03:25:47 +00:00
Erick Friis
0dbaf05bb7 standard-tests: rename langchain_standard_tests to langchain_tests, release 0.3.2 (#28203) 2024-11-18 19:10:39 -08:00
Erick Friis
24eea2e398 infra: allow non-langchainai packages (#28199) 2024-11-19 01:43:08 +00:00
Erick Friis
d9d689572a openai: release 0.2.9, o1 streaming (#28197) 2024-11-18 23:54:38 +00:00
Erick Friis
cbeb8601d6 docs: efficient rebuild (#28195)
if you run `make build start` in one tab, then start editing files, you
can efficient rebuild notebooks with `make generate-files md-sync
render`
2024-11-18 22:09:16 +00:00
ccurme
018f4102f4 docs: fix embeddings tabs (#28193)
- Update fake embeddings to deterministic fake embeddings
- Fix indentation
2024-11-18 16:00:20 -05:00
Mahdi Massahi
6dfea7e508 docs: fixed a typo (#28191)
**Description**: removed the redundant phrase (typo)
2024-11-18 15:46:47 -05:00
Eugene Yurtsev
3a63055ce2 docs[patch]: Add missing link to streaming concepts page (#28189)
Add missing streaming concept
2024-11-18 14:35:10 -05:00
ccurme
a1db744b20 docs: add component tabs to integration landing pages (#28142)
- Add to embedding model tabs
- Add tabs for vector stores
- Add "hello world" examples in integration landing pages using tabs
2024-11-18 13:34:35 -05:00
Erick Friis
c26b3575f8 docs: community integration guide clarification (#28186) 2024-11-18 17:58:07 +00:00
Erick Friis
093f24ba4d docs: standard test update (#28185) 2024-11-18 17:49:21 +00:00
Talha Munir
0c051e57e0 docs: fix grammatical error in delegation to sync methods (#28165)
### **Description**  
Fixed a grammatical error in the documentation section about the
delegation to synchronous methods to improve readability and clarity.

### **Issue**  
No associated issue.

### **Dependencies**  
No additional dependencies required.

### **Twitter handle**  
N/A

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2024-11-18 16:27:30 +00:00
DreamOfStars
22a8652ecc langchain: add missing punctuation in react_single_input.py (#28161)
- [x] **PR title**: "langchain: add missing punctuation in
react_single_input.py"

- [x] **PR message**: 
- **Description:** Add missing single quote to line 12: "Invalid Format:
Missing 'Action:' after 'Thought:"
2024-11-18 09:38:48 -05:00
Eugene Yurtsev
76e210a349 docs: link to langgraph platform (#28150)
Link to langgraph platform
2024-11-16 22:37:58 -05:00
Eric Pinzur
0a57fc0016 community: OpenSearchVectorStore: use engine set at init() time by default (#28147)
Description:
* Updated the OpenSearchVectorStore to use the `engine` parameter
captured at `init()` time as the default when adding documents to the
store.

Formatted, Linted, and Tested.
2024-11-16 17:07:42 -05:00
Zapiron
e6fe8cc2fb docs: Fix wrong import of AttributeInfo (#28155)
Fix wrong import of `AttributeInfo` from
`langchain.chains.query_constructor.base` to
`langchain.chains.query_constructor.schema`
2024-11-16 16:59:35 -05:00
Zapiron
0b2bea4c0e docs: Resolve incorrect import for AttributeInfo (#28154)
`AttributeInfo` is incorrectly imported from
`langchain.chains.query_constructor.base` instead of
`langchain.chains.query_constructor.schema`
2024-11-16 16:57:55 -05:00
Alexey Morozov
3b602d0453 docs: Added missing installation for required packages in tutorial notebooks (#28156)
**Description:** some of the required packages are missing in the
installation cell in tutorial notebooks. So I added required packages to
installation cell or created latter one if it was not presented in the
notebook at all.

Tested in colab: "Kernel" -> "Run all cells". All the notebooks under
`docs/tutorials` run as expected without `ModuleNotFoundError` error.

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-11-16 21:51:30 +00:00
Zapiron
2de59d0b3e docs: Fixed mini typo (#28149)
Fix mini typo from objets to objects
2024-11-16 16:31:31 -05:00
Erick Friis
709c418022 docs: how to contribute integrations (#28143) 2024-11-15 14:52:17 -08:00
Erick Friis
683644320b docs: reorg sidebar (#27978) 2024-11-15 14:28:18 -08:00
Piyush Jain
c48fdbba6a docs:Moved AWS tab ahead in the list as per integration telemetry (#28144)
Moving ahead per integration telemetry
2024-11-15 22:24:27 +00:00
Erick Friis
364fd5e17f infra: release standard test case (#28140) 2024-11-15 11:58:28 -08:00
Erick Friis
6d2004ee7d multiple: langchain-standard-tests -> langchain-tests (#28139) 2024-11-15 11:32:04 -08:00
Erick Friis
409c7946ac docs, standard-tests: how to standard test a custom tool, imports (#27931) 2024-11-15 10:49:14 -08:00
alex shengzhi li
39fcb476fd community: add reka chat model integration (#27379) 2024-11-15 13:37:14 -05:00
Erick Friis
d3252b7417 core: release 0.3.19 (#28137) 2024-11-15 18:15:28 +00:00
ccurme
585479e1ff docs: add legacy LLM page to concepts index (#28135)
This page was previously not discoverable.
2024-11-15 13:06:48 -05:00
Jorge Piedrahita Ortiz
39956a3ef0 community: sambanovacloud llm integration (#27526)
- **Description:** SambaNovaCloud llm integration added, previously only
chat model integration

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-11-15 16:58:11 +00:00
Elham Badri
d696728278 partners/ollama: Enabled Token Level Streaming when Using Bind Tools for ChatOllama (#27689)
**Description:** The issue concerns the unexpected behavior observed
using the bind_tools method in LangChain's ChatOllama. When tools are
not bound, the llm.stream() method works as expected, returning
incremental chunks of content, which is crucial for real-time
applications such as conversational agents and live feedback systems.
However, when bind_tools([]) is used, the streaming behavior changes,
causing the output to be delivered in full chunks rather than
incrementally. This change negatively impacts the user experience by
breaking the real-time nature of the streaming mechanism.
**Issue:** #26971

---------

Co-authored-by: 4meyDam1e <amey.damle@mail.utoronto.ca>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-11-15 11:36:27 -05:00
ccurme
776e3271e3 standard-tests[patch]: add test for async tool calling (#28133) 2024-11-15 16:09:50 +00:00
Vadym Barda
ed4952e475 core[patch]: add caching to get_function_nonlocals (#28131) 2024-11-15 07:53:53 -08:00
ccurme
74438f3ae8 docs: add links to concept guides in how-tos (#28118) 2024-11-15 09:44:11 -05:00
ccurme
ef2dc9eae5 docs: update "quickstart" tutorial (#28096)
- Update language / add links in places
- De-emphasize output parsers
- remove deployment section
2024-11-14 14:38:45 -05:00
ccurme
f1222739f8 core[patch]: support numpy 2 (#27991) 2024-11-14 13:08:57 -05:00
Zapiron
cff70c2d67 docs: Add hyperlink to immediately show the table at the bottom of th… (#28102)
Added a hyperlink which can be clicked so users can immediately see the
table and find out the various example selector methods
2024-11-14 09:52:18 -05:00
Zapiron
4b641f87ae English Update and fixed a duplicate "the" (#27981)
Fixed a duplicate "the" in the documentation and made the documentation
generally easier to understand
2024-11-13 14:36:56 -05:00
Erick Friis
f6d34585f0 docs: throw on broken anchors (#27773)
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2024-11-13 14:29:27 -05:00
Zapiron
7bd9c8cba3 docs: Updated link to ensure reference to the correct header for ToolNode (#28088)
When `ToolNode` hyperlink is clicked, it does not automatically scroll
to the section due to incorrect reference to the heading / id in the
LangGraph documentation
2024-11-13 14:19:55 -05:00
ccurme
940e93e891 docs: add docs on StrOutputParser (#28089)
Think it's worth adding a quick guide and including in the table in the
concepts page. `StrOutputParser` can make it easier to deal with the
union type for message content. For example, ChatAnthropic with bound
tools will generate string content if there are no tool calls and
`list[dict]` content otherwise.

I'm also considering removing the output parser section from the
["quickstart"
tutorial](https://python.langchain.com/docs/tutorials/llm_chain/); we
can link to this guide instead.
2024-11-13 14:16:50 -05:00
Vadym Barda
6ec688cf2b xai[patch]: update core (#28092) 2024-11-13 17:51:51 +00:00
Artur Barseghyan
2ab5673eb1 docs: Add example using TypedDict in structured outputs how-to guide (#27415)
For me, the [Pydantic
example](https://python.langchain.com/docs/how_to/structured_output/#choosing-between-multiple-schemas)
does not work (tested on various Python versions from 3.10 to 3.12, and
`Pydantic` versions from 2.7 to 2.9).

The `TypedDict` example (added in this PR) does.

----

Additionally, fixed an error in [Using PydanticOutputParser
example](https://python.langchain.com/docs/how_to/structured_output/#using-pydanticoutputparser).

Was:

```python
query = "Anna is 23 years old and she is 6 feet tall"

print(prompt.invoke(query).to_string())
```

Corrected to:

```python
query = "Anna is 23 years old and she is 6 feet tall"

print(prompt.invoke({"query": query}).to_string())
```

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2024-11-13 16:53:37 +00:00
Bharat Ramanathan
3e972faf81 community: chore warn deprecate the tracer (#27159)
- **Description:**: This PR deprecates the wandb tracer in favor of the
new
[WeaveTracer](https://weave-docs.wandb.ai/guides/integrations/langchain#using-weavetracer)
in W&B
- **Dependencies:** No dependencies, just a deprecation warning.
- **Twitter handle:** @parambharat


@baskaryan
2024-11-13 11:33:34 -05:00
Erick Friis
76e0127539 core: release 0.3.18 (#28070) 2024-11-13 16:19:13 +00:00
Eric Pinzur
eadc2f6a90 core: added DeleteResponse to the module (#28069)
Description:
* added `DeleteResponse` to the `langchain_core.indexing` module, for
implementing DocumentIndex classes.
2024-11-13 11:08:08 -05:00
ZhangShenao
c89e7ce8b5 core[patch]: Update doc-strings in callbacks (#28073)
- Fix api docs
2024-11-13 11:07:15 -05:00
Tom Pham
965286db3e docs: fix spelling error (#28075)
Fix spelling error in docs
2024-11-13 11:06:13 -05:00
Zapiron
892694d735 docs: Fixed broken link for AI models introduction (#28079)
Fixed broken redirect to the introduction to AI models in the Forefront
platform
2024-11-13 11:03:40 -05:00
Vruddhi Shah
beef4c4d62 Proofreading and Editing Report for Migration Guide (#28084)
Corrections and Suggestions for Migrating LangChain Code Documentation

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, efriis, eyurtsev, ccurme, vbarda, hwchase17.
2024-11-13 11:03:09 -05:00
Zapiron
2cec957274 docs: Fix missing space between the words API Reference (#28087)
Added an expected space between the words APIReference
2024-11-13 11:02:46 -05:00
Zapiron
da7c79b794 DOCS: Concept Section Improvements & Updates (#27733)
Edited mainly the `Concepts` section in the LangChain documentation.

Overview:
* Updated some explanations to make the point more clear / Add missing
words for some documentations.
* Rephrased some sentences to make it shorter and more concise.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
2024-11-13 11:01:27 -05:00
Zapiron
02de346f6d docs: Fixed additional 'the' and remove 'turns' to make explanation clearer (#28082)
Fixed additional 'the' and remove the word 'turns' as it would make
explanation clearer

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2024-11-13 15:15:39 +00:00
Zapiron
298ebeee4e docs: Fixed broken link for Cloudfare docs for the models available (#28080)
Fixed the broken redirect to see all the cloudfare models
2024-11-13 10:07:33 -05:00
Zapiron
8241c0df23 docs: Fixed wrong link redirect from JS ToolMessage to Python ToolMes… (#28083)
Fixed the link to ToolMessage from the JS documentation to Python
documentation
2024-11-13 10:05:19 -05:00
Zapiron
77c8a5c70c docs: Fixed broken link to the Luminous model family introduction (#28078)
The Luminous Model hyperlink at the start of the model is broken.
Fixed it to update it with the latest link used by the integration
2024-11-13 10:04:50 -05:00
Vadym Barda
09e85c7c4b xai[patch]: update dependencies (#28067) 2024-11-12 16:15:17 -05:00
am-kinetica
a646f1c383 Handled empty search result handling and updated the notebook (#27914)
- [ ] **PR title**: "community: updated Kinetica vectorstore"

  - **Description:** Handled empty search results
  - **Issue:** used to throw error if the search results were empty

@efriis
2024-11-12 13:03:49 -08:00
ccurme
00e7b2dada anthropic[patch]: add examples to API ref (#28065) 2024-11-12 20:17:02 +00:00
Vadym Barda
48ee322a78 partners: add xAI chat integration (#28032) 2024-11-12 15:11:29 -05:00
ccurme
2898b95ca7 anthropic[major]: release 0.3.0 (#28063) 2024-11-12 14:58:00 -05:00
ccurme
5eaa0e8c45 openai[patch]: release 0.2.8 (#28062) 2024-11-12 14:57:11 -05:00
ccurme
15b7dd3ad7 community[patch]: release 0.3.7 (#28061) 2024-11-12 19:54:58 +00:00
ccurme
5460096086 core[patch]: release 0.3.17 (#28060) 2024-11-12 19:38:56 +00:00
ccurme
1538ee17f9 anthropic[major]: support python 3.13 (#27916)
Last week Anthropic released version 0.39.0 of its python sdk, which
enabled support for Python 3.13. This release deleted a legacy
`client.count_tokens` method, which we currently access during init of
the `Anthropic` LLM. Anthropic has replaced this functionality with the
[client.beta.messages.count_tokens()
API](https://github.com/anthropics/anthropic-sdk-python/pull/726).

To enable support for `anthropic >= 0.39.0` and Python 3.13, here we
drop support for the legacy token counting method, and add support for
the new method via `ChatAnthropic.get_num_tokens_from_messages`.

To fully support the token counting API, we update the signature of
`get_num_tokens_from_message` to accept tools everywhere.

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
2024-11-12 14:31:07 -05:00
Syed Hyder Zaidi
759b6ed17a docs: Fix typo in Tavily Search example (#28034)
Changed "demon" to "demo" in the code comment for clarity.

PR Title
docs: Fix typo in Tavily Search example

PR Message
Description:
This PR fixes a typo in the code comment of the Tavily Search
documentation. Changed "demon" to "demo" for clarity and to avoid
confusion.

Issue:
No specific issue was mentioned, but this is a minor improvement in
documentation.

Dependencies:
No additional dependencies required.
2024-11-12 13:58:13 -05:00
ZhangShenao
ca7375ac20 Improvement[Community]Improve Embeddings API (#28038)
- Fix `BaichuanTextEmbeddings` api url
- Remove unused params in api doc
- Fix word spelling
2024-11-12 13:57:35 -05:00
Aditya Anand
e290736696 Update streaming.mdx (#28055)
fix: correct grammar in documentation for streaming modes

Updated sentence to clarify usage of "choose" in "When using the stream
and astream methods with LangGraph, you can choose one or more streaming
modes..." for better readability.

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, efriis, eyurtsev, ccurme, vbarda, hwchase17.
2024-11-12 16:43:12 +00:00
Aditya Anand
f9212c77e7 DOC: Fix typo in documentation for streaming modes, correcting 'witte… (#28052)
…n' to 'written' in 'Emit custom output written using LangGraph’s
StreamWriter.'

### Changes:
- Corrected the typo in the phrase 'Emit custom output witten using
LangGraph’s StreamWriter.' to 'Emit custom output written using
LangGraph’s StreamWriter.'
- Enhanced the clarity of the documentation surrounding LangGraph’s
streaming modes, specifically around the StreamWriter functionality.
- Provided additional context and emphasis on the role of the
StreamWriter class in handling custom output.

### Issue Reference:
- GitHub issue: https://github.com/langchain-ai/langchain/issues/28051

This update addresses the issue raised regarding the incorrect spelling
and aims to improve the clarity of the streaming mode documentation for
better user understanding.

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**:
**Description:**  
Fixed a typo in the documentation for streaming modes, changing "witten"
to "written" in the phrase "Emit custom output witten using LangGraph’s
StreamWriter."
**Issue:**  
This PR addresses and fixes the typo in the documentation referenced in
[#28051](https://github.com/langchain-ai/langchain/issues/28051).


**Issue:**  
This PR addresses and fixes the typo in the documentation referenced in
[#28051](https://github.com/langchain-ai/langchain/issues/28051).


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


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

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

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
2024-11-12 11:42:30 -05:00
Bagatur
139881b108 openai[patch]: fix azure oai stream check (#28048) 2024-11-12 15:42:06 +00:00
Bagatur
9611f0b55d openai[patch]: Release 0.2.7 (#28047) 2024-11-12 15:16:15 +00:00
Bagatur
5c14e1f935 community[patch]: Release 0.3.6 (#28046) 2024-11-12 15:15:07 +00:00
Bagatur
9ebd7ebed8 core[patch]: Release 0.3.16 (#28045) 2024-11-12 14:57:15 +00:00
Changyong Um
9484cc0962 community[docs]: modify parameter for the LoRA adapter on the vllm page (#27930)
**Description:** 
This PR modifies the documentation regarding the configuration of the
VLLM with the LoRA adapter. The updates aim to provide clear
instructions for users on how to set up the LoRA adapter when using the
VLLM.

- before
```python
VLLM(..., enable_lora=True)
```
- after
```python
VLLM(..., 
    vllm_kwargs={
        "enable_lora": True
    }
)
```
This change clarifies that users should use the vllm_kwargs to enable
the LoRA adapter.

Co-authored-by: Um Changyong <changyong.um@sfa.co.kr>
2024-11-11 15:41:56 -05:00
Zapiron
0b85f9035b docs: Makes the phrasing more smooth and reasoning more clear (#28020)
Updated the phrasing and reasoning on the "abstraction not receiving
much development" part of the documentation

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2024-11-11 17:17:29 +00:00
Zapiron
f695b96484 docs:Fixed missing hyperlink and changed AI to LLMs for clarity (#28006)
Changed "AI" to "LLM" in a paragraph
Fixed missing hyperlink for the structured output point
2024-11-11 12:14:29 -05:00
Choy Fuguan
c0f3777657 docs: removed bolding from header (#28001)
removed extra ** after heading two
2024-11-11 12:13:02 -05:00
Salman Faroz
44df79cf52 Correcting AzureOpenAI initialization (#28014) 2024-11-11 12:10:59 -05:00
Hammad Randhawa
57fc62323a docs : Update sql_qa.ipynb (#28026)
Text Documentation Bug:

Changed DSL query to SQL query.
2024-11-11 12:04:09 -05:00
ccurme
922b6b0e46 docs: update some cassettes (#28010) 2024-11-09 21:04:18 +00:00
ccurme
8e91c7ceec docs: add cross-links (#28000)
Mainly to improve visibility of integration pages.
2024-11-09 08:57:58 -05:00
Bagatur
33dbfba08b openai[patch]: default to invoke on o1 stream() (#27983) 2024-11-08 19:12:59 -08:00
Bagatur
503f2487a5 docs: intro nit (#27998) 2024-11-08 11:51:17 -08:00
ccurme
ff2152b115 docs: update tutorials index and add get started guides (#27996) 2024-11-08 14:47:32 -05:00
Eric Pinzur
c421997caa community[patch]: Added type hinting to OpenSearch clients (#27946)
Description:
* When working with OpenSearchVectorSearch to make
OpenSearchGraphVectorStore (coming soon), I noticed that there wasn't
type hinting for the underlying OpenSearch clients. This fixes that
issue.
* Confirmed tests are still passing with code changes.

Note that there is some additional code duplication now, but I think
this approach is cleaner overall.
2024-11-08 11:04:57 -08:00
Zapiron
4c2392e55c docs: fix link in custom tools guide (#27975)
Fixed broken link in tools documentation for `BaseTool`
2024-11-08 09:40:15 -05:00
Zapiron
85925e3164 docs: fix link in tool-calling guide (#27976)
Fix broken BaseTool link in documentation
2024-11-08 09:39:27 -05:00
Zapiron
138f360b25 docs: fix typo in PDF loader guide (#27977)
Fixed duplicate "py" in hyperlink to `pypdf` docs
2024-11-08 09:38:32 -05:00
Saad Makrod
b509747c7f Community: Google Books API Tool (#27307)
## Description

As proposed in our earlier discussion #26977 we have introduced a Google
Books API Tool that leverages the Google Books API found at
[https://developers.google.com/books/docs/v1/using](https://developers.google.com/books/docs/v1/using)
to generate book recommendations.

### Sample Usage

```python
from langchain_community.tools import GoogleBooksQueryRun
from langchain_community.utilities import GoogleBooksAPIWrapper

api_wrapper = GoogleBooksAPIWrapper()
tool = GoogleBooksQueryRun(api_wrapper=api_wrapper)

tool.run('ai')
```

### Sample Output

```txt
Here are 5 suggestions based off your search for books related to ai:

1. "AI's Take on the Stigma Against AI-Generated Content" by Sandy Y. Greenleaf: In a world where artificial intelligence (AI) is rapidly advancing and transforming various industries, a new form of content creation has emerged: AI-generated content. However, despite its potential to revolutionize the way we produce and consume information, AI-generated content often faces a significant stigma. "AI's Take on the Stigma Against AI-Generated Content" is a groundbreaking book that delves into the heart of this issue, exploring the reasons behind the stigma and offering a fresh, unbiased perspective on the topic. Written from the unique viewpoint of an AI, this book provides readers with a comprehensive understanding of the challenges and opportunities surrounding AI-generated content. Through engaging narratives, thought-provoking insights, and real-world examples, this book challenges readers to reconsider their preconceptions about AI-generated content. It explores the potential benefits of embracing this technology, such as increased efficiency, creativity, and accessibility, while also addressing the concerns and drawbacks that contribute to the stigma. As you journey through the pages of this book, you'll gain a deeper understanding of the complex relationship between humans and AI in the realm of content creation. You'll discover how AI can be used as a tool to enhance human creativity, rather than replace it, and how collaboration between humans and machines can lead to unprecedented levels of innovation. Whether you're a content creator, marketer, business owner, or simply someone curious about the future of AI and its impact on our society, "AI's Take on the Stigma Against AI-Generated Content" is an essential read. With its engaging writing style, well-researched insights, and practical strategies for navigating this new landscape, this book will leave you equipped with the knowledge and tools needed to embrace the AI revolution and harness its potential for success. Prepare to have your assumptions challenged, your mind expanded, and your perspective on AI-generated content forever changed. Get ready to embark on a captivating journey that will redefine the way you think about the future of content creation.
Read more at https://play.google.com/store/books/details?id=4iH-EAAAQBAJ&source=gbs_api

2. "AI Strategies For Web Development" by Anderson Soares Furtado Oliveira: From fundamental to advanced strategies, unlock useful insights for creating innovative, user-centric websites while navigating the evolving landscape of AI ethics and security Key Features Explore AI's role in web development, from shaping projects to architecting solutions Master advanced AI strategies to build cutting-edge applications Anticipate future trends by exploring next-gen development environments, emerging interfaces, and security considerations in AI web development Purchase of the print or Kindle book includes a free PDF eBook Book Description If you're a web developer looking to leverage the power of AI in your projects, then this book is for you. Written by an AI and ML expert with more than 15 years of experience, AI Strategies for Web Development takes you on a transformative journey through the dynamic intersection of AI and web development, offering a hands-on learning experience.The first part of the book focuses on uncovering the profound impact of AI on web projects, exploring fundamental concepts, and navigating popular frameworks and tools. As you progress, you'll learn how to build smart AI applications with design intelligence, personalized user journeys, and coding assistants. Later, you'll explore how to future-proof your web development projects using advanced AI strategies and understand AI's impact on jobs. Toward the end, you'll immerse yourself in AI-augmented development, crafting intelligent web applications and navigating the ethical landscape.Packed with insights into next-gen development environments, AI-augmented practices, emerging realities, interfaces, and security governance, this web development book acts as your roadmap to staying ahead in the AI and web development domain. What you will learn Build AI-powered web projects with optimized models Personalize UX dynamically with AI, NLP, chatbots, and recommendations Explore AI coding assistants and other tools for advanced web development Craft data-driven, personalized experiences using pattern recognition Architect effective AI solutions while exploring the future of web development Build secure and ethical AI applications following TRiSM best practices Explore cutting-edge AI and web development trends Who this book is for This book is for web developers with experience in programming languages and an interest in keeping up with the latest trends in AI-powered web development. Full-stack, front-end, and back-end developers, UI/UX designers, software engineers, and web development enthusiasts will also find valuable information and practical guidelines for developing smarter websites with AI. To get the most out of this book, it is recommended that you have basic knowledge of programming languages such as HTML, CSS, and JavaScript, as well as a familiarity with machine learning concepts.
Read more at https://play.google.com/store/books/details?id=FzYZEQAAQBAJ&source=gbs_api

3. "Artificial Intelligence for Students" by Vibha Pandey: A multifaceted approach to develop an understanding of AI and its potential applications KEY FEATURES ● AI-informed focuses on AI foundation, applications, and methodologies. ● AI-inquired focuses on computational thinking and bias awareness. ● AI-innovate focuses on creative and critical thinking and the Capstone project. DESCRIPTION AI is a discipline in Computer Science that focuses on developing intelligent machines, machines that can learn and then teach themselves. If you are interested in AI, this book can definitely help you prepare for future careers in AI and related fields. The book is aligned with the CBSE course, which focuses on developing employability and vocational competencies of students in skill subjects. The book is an introduction to the basics of AI. It is divided into three parts – AI-informed, AI-inquired and AI-innovate. It will help you understand AI's implications on society and the world. You will also develop a deeper understanding of how it works and how it can be used to solve complex real-world problems. Additionally, the book will also focus on important skills such as problem scoping, goal setting, data analysis, and visualization, which are essential for success in AI projects. Lastly, you will learn how decision trees, neural networks, and other AI concepts are commonly used in real-world applications. By the end of the book, you will develop the skills and competencies required to pursue a career in AI. WHAT YOU WILL LEARN ● Get familiar with the basics of AI and Machine Learning. ● Understand how and where AI can be applied. ● Explore different applications of mathematical methods in AI. ● Get tips for improving your skills in Data Storytelling. ● Understand what is AI bias and how it can affect human rights. WHO THIS BOOK IS FOR This book is for CBSE class XI and XII students who want to learn and explore more about AI. Basic knowledge of Statistical concepts, Algebra, and Plotting of equations is a must. TABLE OF CONTENTS 1. Introduction: AI for Everyone 2. AI Applications and Methodologies 3. Mathematics in Artificial Intelligence 4. AI Values (Ethical Decision-Making) 5. Introduction to Storytelling 6. Critical and Creative Thinking 7. Data Analysis 8. Regression 9. Classification and Clustering 10. AI Values (Bias Awareness) 11. Capstone Project 12. Model Lifecycle (Knowledge) 13. Storytelling Through Data 14. AI Applications in Use in Real-World
Read more at https://play.google.com/store/books/details?id=ptq1EAAAQBAJ&source=gbs_api

4. "The AI Book" by Ivana Bartoletti, Anne Leslie and Shân M. Millie: Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important
Read more at http://books.google.ca/books?id=oE3YDwAAQBAJ&dq=ai&hl=&source=gbs_api

5. "Artificial Intelligence in Society" by OECD: The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Read more at https://play.google.com/store/books/details?id=eRmdDwAAQBAJ&source=gbs_api
```

## Issue 

This closes #27276 

## Dependencies

No additional dependencies were added

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-07 15:29:35 -08:00
Massimiliano Pronesti
be3b7f9bae cookbook: add Anthropic's contextual retrieval (#27898)
Hi there, this PR adds a notebook implementing Anthropic's proposed
[Contextual
retrieval](https://www.anthropic.com/news/contextual-retrieval) to
langchain's cookbook.
2024-11-07 14:48:01 -08:00
Erick Friis
733e43eed0 docs: new stack diagram (#27972) 2024-11-07 22:46:56 +00:00
Erick Friis
a073c4c498 templates,docs: leave templates in v0.2 (#27952)
all template installs will now have to declare `--branch v0.2` to make
clear they aren't compatible with langchain 0.3 (most have a pydantic v1
setup). e.g.

```
langchain-cli app add pirate-speak --branch v0.2
```
2024-11-07 22:23:48 +00:00
Erick Friis
8807e6986c docs: ignore case production fork master (#27971) 2024-11-07 13:55:21 -08:00
Shawn Lee
6f368e9eab community: handle chatdeepinfra jsondecode error (#27603)
Fixes #27602 

Added error handling to return empty dict if args is empty string or
None.

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-07 13:47:19 -08:00
CLOVA Studio 개발
0588bab33e community: fix ClovaXEmbeddings document API link address (#27957)
- **Description:** 404 error occurs because `API reference` link address
path is incorrect on
`langchain/docs/docs/integrations/text_embedding/naver.ipynb`
- **Issue:** fix `API reference` link address correct path.

@vbarda @efriis
2024-11-07 13:46:01 -08:00
Akshata
05fd6a16a9 Add ChatModels wrapper for Cloudflare Workers AI (#27645)
Thank you for contributing to LangChain!

- [x] **PR title**: "community: chat models wrapper for Cloudflare
Workers AI"


- [x] **PR message**:
- **Description:** Add chat models wrapper for Cloudflare Workers AI.
Enables Langgraph intergration via ChatModel for tool usage, agentic
usage.


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


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

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

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

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-11-07 15:34:24 -05:00
Erick Friis
8a5b9bf2ad box: migrate to repo (#27969) 2024-11-07 10:19:22 -08:00
ccurme
1ad49957f5 docs[patch]: update cassettes for sql/csv notebook (#27966) 2024-11-07 11:48:45 -05:00
ccurme
a747dbd24b anthropic[patch]: remove retired model from tests (#27965)
`claude-instant` was [retired
yesterday](https://docs.anthropic.com/en/docs/resources/model-deprecations).
2024-11-07 16:16:29 +00:00
Aksel Joonas Reedi
2cb39270ec community: bytes as a source to AzureAIDocumentIntelligenceLoader (#26618)
- **Description:** This PR adds functionality to pass in in-memory bytes
as a source to `AzureAIDocumentIntelligenceLoader`.
- **Issue:** I needed the functionality, so I added it.
- **Dependencies:** NA
- **Twitter handle:** @akseljoonas if this is a big enough change :)

---------

Co-authored-by: Aksel Joonas Reedi <aksel@klippa.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-07 03:40:21 +00:00
Martin Triska
7a9149f5dd community: ZeroxPDFLoader (#27800)
# OCR-based PDF loader

This implements [Zerox](https://github.com/getomni-ai/zerox) PDF
document loader.
Zerox utilizes simple but very powerful (even though slower and more
costly) approach to parsing PDF documents: it converts PDF to series of
images and passes it to a vision model requesting the contents in
markdown.

It is especially suitable for complex PDFs that are not parsed well by
other alternatives.

## Example use:
```python
from langchain_community.document_loaders.pdf import ZeroxPDFLoader

os.environ["OPENAI_API_KEY"] = "" ## your-api-key

model = "gpt-4o-mini" ## openai model
pdf_url = "https://assets.ctfassets.net/f1df9zr7wr1a/soP1fjvG1Wu66HJhu3FBS/034d6ca48edb119ae77dec5ce01a8612/OpenAI_Sacra_Teardown.pdf"

loader = ZeroxPDFLoader(file_path=pdf_url, model=model)
docs = loader.load()
```

The Zerox library supports wide range of provides/models. See Zerox
documentation for details.

- **Dependencies:** `zerox`
- **Twitter handle:** @martintriska1

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

---------

Co-authored-by: Erick Friis <erickfriis@gmail.com>
2024-11-07 03:14:57 +00:00
Dmitriy Prokopchuk
53b0a99f37 community: Memcached LLM Cache Integration (#27323)
## Description
This PR adds support for Memcached as a usable LLM model cache by adding
the ```MemcachedCache``` implementation relying on the
[pymemcache](https://github.com/pinterest/pymemcache) client.

Unit test-wise, the new integration is generally covered under existing
import testing. All new functionality depends on pymemcache if
instantiated and used, so to comply with the other cache implementations
the PR also adds optional integration tests for ```MemcachedCache```.

Since this is a new integration, documentation is added for Memcached as
an integration and as an LLM Cache.

## Issue
This PR closes #27275 which was originally raised as a discussion in
#27035

## Dependencies
There are no new required dependencies for langchain, but
[pymemcache](https://github.com/pinterest/pymemcache) is required to
instantiate the new ```MemcachedCache```.

## Example Usage
```python3
from langchain.globals import set_llm_cache
from langchain_openai import OpenAI

from langchain_community.cache import MemcachedCache
from pymemcache.client.base import Client

llm = OpenAI(model="gpt-3.5-turbo-instruct", n=2, best_of=2)
set_llm_cache(MemcachedCache(Client('localhost')))

# The first time, it is not yet in cache, so it should take longer
llm.invoke("Which city is the most crowded city in the USA?")

# The second time it is, so it goes faster
llm.invoke("Which city is the most crowded city in the USA?")
```

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-07 03:07:59 +00:00
Siddharth Murching
cfff2a057e community: Update UC toolkit documentation to use LangGraph APIs (#26778)
- **Description:** Update UC toolkit documentation to show an example of
using recommended LangGraph agent APIs before the existing LangChain
AgentExecutor example. Tested by manually running the updated example
notebook
- **Dependencies:** No new dependencies

---------

Signed-off-by: Sid Murching <sid.murching@databricks.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-07 02:47:41 +00:00
ZhangShenao
c2072d909a Improvement[Partner] Improve qdrant vector store (#27251)
- Add static method decorator
- Add args for api doc
- Fix word spelling

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-07 02:42:41 +00:00
Baptiste Pasquier
81f7daa458 community: add InfinityRerank (#27043)
**Description:** 

- Add a Reranker for Infinity server.

**Dependencies:** 

This wrapper uses
[infinity_client](https://github.com/michaelfeil/infinity/tree/main/libs/client_infinity/infinity_client)
to connect to an Infinity server.

**Tests and docs**

- integration test: test_infinity_rerank.py
- example notebook: infinity_rerank.ipynb
[here](https://github.com/baptiste-pasquier/langchain/blob/feat/infinity-rerank/docs/docs/integrations/document_transformers/infinity_rerank.ipynb)

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-06 17:26:30 -08:00
Erick Friis
2494deb2a4 infra: remove google creds from release and integration test workflows (#27950) 2024-11-07 00:31:10 +00:00
Martin Triska
90189f5639 community: Allow other than default parsers in SharePointLoader and OneDriveLoader (#27716)
## What this PR does?

### Currently `O365BaseLoader` (and consequently both derived loaders)
are limited to `pdf`, `doc`, `docx` files.
- **Solution: here we introduce _handlers_ attribute that allows for
custom handlers to be passed in. This is done in _dict_ form:**

**Example:**
```python
from langchain_community.document_loaders.parsers.documentloader_adapter import DocumentLoaderAsParser
# PR for DocumentLoaderAsParser here: https://github.com/langchain-ai/langchain/pull/27749
from langchain_community.document_loaders.excel import UnstructuredExcelLoader

xlsx_parser = DocumentLoaderAsParser(UnstructuredExcelLoader, mode="paged")

# create dictionary mapping file types to handlers (parsers)
handlers = {
    "doc": MsWordParser()
    "pdf": PDFMinerParser()
    "txt": TextParser()
    "xlsx": xlsx_parser
}
loader = SharePointLoader(document_library_id="...",
                            handlers=handlers # pass handlers to SharePointLoader
                            )
documents = loader.load()

# works the same in OneDriveLoader
loader = OneDriveLoader(document_library_id="...",
                            handlers=handlers
                            )
```
This dictionary is then passed to `MimeTypeBasedParser` same as in the
[current
implementation](5a2cfb49e0/libs/community/langchain_community/document_loaders/parsers/registry.py (L13)).


### Currently `SharePointLoader` and `OneDriveLoader` are separate
loaders that both inherit from `O365BaseLoader`
However both of these implement the same functionality. The only
differences are:
- `SharePointLoader` requires argument `document_library_id` whereas
`OneDriveLoader` requires `drive_id`. These are just different names for
the same thing.
  - `SharePointLoader` implements significantly more features.
- **Solution: `OneDriveLoader` is replaced with an empty shell just
renaming `drive_id` to `document_library_id` and inheriting from
`SharePointLoader`**

**Dependencies:** None
**Twitter handle:** @martintriska1

If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
2024-11-06 17:44:34 -05:00
takahashi
482c168b3e langchain_core: add file_type option to make file type default as png (#27855)
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, "templates:
..." for template changes, "infra: ..." for CI changes.
  - Example: "community: add foobar LLM"

- [ ] **description**
langchain_core.runnables.graph_mermaid.draw_mermaid_png calls this
function, but the Mermaid API returns JPEG by default. To be consistent,
add the option `file_type` with the default `png` type.

- [ ] **Add tests and docs**: If you're adding a new integration, please
include
With this small change, I didn't add tests and docs.

- [ ] **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:
One long sentence was divided into two.

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.
2024-11-06 22:37:07 +00:00
Roman Solomatin
0f85dea8c8 langchain-huggingface: use separate kwargs for queries and docs (#27857)
Now `encode_kwargs` used for both for documents and queries and this
leads to wrong embeddings. E. g.:
```python
    model_kwargs = {"device": "cuda", "trust_remote_code": True}
    encode_kwargs = {"normalize_embeddings": False, "prompt_name": "s2p_query"}

    model = HuggingFaceEmbeddings(
        model_name="dunzhang/stella_en_400M_v5",
        model_kwargs=model_kwargs,
        encode_kwargs=encode_kwargs,
    )

    query_embedding = np.array(
        model.embed_query("What are some ways to reduce stress?",)
    )
    document_embedding = np.array(
        model.embed_documents(
            [
                "There are many effective ways to reduce stress. Some common techniques include deep breathing, meditation, and physical activity. Engaging in hobbies, spending time in nature, and connecting with loved ones can also help alleviate stress. Additionally, setting boundaries, practicing self-care, and learning to say no can prevent stress from building up.",
                "Green tea has been consumed for centuries and is known for its potential health benefits. It contains antioxidants that may help protect the body against damage caused by free radicals. Regular consumption of green tea has been associated with improved heart health, enhanced cognitive function, and a reduced risk of certain types of cancer. The polyphenols in green tea may also have anti-inflammatory and weight loss properties.",
            ]
        )
    )
    print(model._client.similarity(query_embedding, document_embedding)) # output: tensor([[0.8421, 0.3317]], dtype=torch.float64)
```
But from the [model
card](https://huggingface.co/dunzhang/stella_en_400M_v5#sentence-transformers)
expexted like this:
```python
    model_kwargs = {"device": "cuda", "trust_remote_code": True}
    encode_kwargs = {"normalize_embeddings": False}
    query_encode_kwargs = {"normalize_embeddings": False, "prompt_name": "s2p_query"}

    model = HuggingFaceEmbeddings(
        model_name="dunzhang/stella_en_400M_v5",
        model_kwargs=model_kwargs,
        encode_kwargs=encode_kwargs,
        query_encode_kwargs=query_encode_kwargs,
    )

    query_embedding = np.array(
        model.embed_query("What are some ways to reduce stress?", )
    )
    document_embedding = np.array(
        model.embed_documents(
            [
                "There are many effective ways to reduce stress. Some common techniques include deep breathing, meditation, and physical activity. Engaging in hobbies, spending time in nature, and connecting with loved ones can also help alleviate stress. Additionally, setting boundaries, practicing self-care, and learning to say no can prevent stress from building up.",
                "Green tea has been consumed for centuries and is known for its potential health benefits. It contains antioxidants that may help protect the body against damage caused by free radicals. Regular consumption of green tea has been associated with improved heart health, enhanced cognitive function, and a reduced risk of certain types of cancer. The polyphenols in green tea may also have anti-inflammatory and weight loss properties.",
            ]
        )
    )
    print(model._client.similarity(query_embedding, document_embedding)) # tensor([[0.8398, 0.2990]], dtype=torch.float64)
```
2024-11-06 17:35:39 -05:00
Bagatur
60123bef67 docs: fix trim_messages docstring (#27948) 2024-11-06 22:25:13 +00:00
murrlincoln
14f1827953 docs: Adding notebook for cdp agentkit toolkit (#27910)
- **Description:** Adding in the first pass of documentation for the CDP
Agentkit Toolkit
    - **Issue:** N/a
    - **Dependencies:** cdp-langchain
    - **Twitter handle:** @CoinbaseDev

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: John Peterson <john.peterson@coinbase.com>
2024-11-06 13:28:27 -08:00
Eric Pinzur
ea0ad917b0 community: added Document.id support to opensearch vectorstore (#27945)
Description:
* Added support of Document.id on OpenSearch vector store
* Added tests cases to match
2024-11-06 15:04:09 -05:00
Hammad Randhawa
75aa82fedc docs: Completed sentence under the heading "Instantiating a Browser … (#27944)
…Toolkit" in "playwright.ipynb" integration.

- Completed the incomplete sentence in the Langchain Playwright
documentation.

- Enhanced documentation clarity to guide users on best practices for
instantiating browser instances with Langchain Playwright.

Example before:
> "It's always recommended to instantiate using the from_browser method
so that the

Example after:
> "It's always recommended to instantiate using the `from_browser`
method so that the browser context is properly initialized and managed,
ensuring seamless interaction and resource optimization."

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-06 19:55:00 +00:00
Bagatur
67ce05a0a7 core[patch]: make oai tool description optional (#27756) 2024-11-06 18:06:47 +00:00
Bagatur
b2da3115ed docs: document init_chat_model standard params (#27812) 2024-11-06 09:50:07 -08:00
Dobiichi-Origami
395674d503 community: re-arrange function call message parse logic for Qianfan (#27935)
the [PR](https://github.com/langchain-ai/langchain/pull/26208) two month
ago has a potential bug which causes malfunction of `tool_call` for
`QianfanChatEndpoint` waiting for fix
2024-11-06 09:58:16 -05:00
Erick Friis
41b7a5169d infra: starter codeowners file (#27929) 2024-11-05 16:43:11 -08:00
ccurme
66966a6e72 openai[patch]: release 0.2.6 (#27924)
Some additions in support of [predicted
outputs](https://platform.openai.com/docs/guides/latency-optimization#use-predicted-outputs)
feature:
- Bump openai sdk version
- Add integration test
- Add example to integration docs

The `prediction` kwarg is already plumbed through model invocation.
2024-11-05 23:02:24 +00:00
Erick Friis
a8c473e114 standard-tests: ci pipeline (#27923) 2024-11-05 20:55:38 +00:00
Erick Friis
c3b75560dc infra: release note grep order of operations (#27922) 2024-11-05 12:44:36 -08:00
Erick Friis
b3c81356ca infra: release note compute 2 (#27921) 2024-11-05 12:04:41 -08:00
Erick Friis
bff2a8b772 standard-tests: add tools standard tests (#27899) 2024-11-05 11:44:34 -08:00
SHJUN
f6b2f82099 community: chroma error patch(attribute changed on chroma) (#27827)
There was a change of attribute name which was "max_batch_size". It's
now "get_max_batch_size" method.
I want to use "create_batches" which is right down below.

Please check this PR link.
reference: https://github.com/chroma-core/chroma/pull/2305

---------

Signed-off-by: Prithvi Kannan <prithvi.kannan@databricks.com>
Co-authored-by: Prithvi Kannan <46332835+prithvikannan@users.noreply.github.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Jun Yamog <jkyamog@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: ono-hiroki <86904208+ono-hiroki@users.noreply.github.com>
Co-authored-by: Dobiichi-Origami <56953648+Dobiichi-Origami@users.noreply.github.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
Co-authored-by: Duy Huynh <vndee.huynh@gmail.com>
Co-authored-by: Rashmi Pawar <168514198+raspawar@users.noreply.github.com>
Co-authored-by: sifatj <26035630+sifatj@users.noreply.github.com>
Co-authored-by: Eric Pinzur <2641606+epinzur@users.noreply.github.com>
Co-authored-by: Daniel Vu Dao <danielvdao@users.noreply.github.com>
Co-authored-by: Ofer Mendelevitch <ofermend@gmail.com>
Co-authored-by: Stéphane Philippart <wildagsx@gmail.com>
2024-11-05 19:43:11 +00:00
Tomaz Bratanic
a3bbbe6a86 update llm graph transformer documentation (#27905) 2024-11-05 11:54:26 -05:00
Erick Friis
31f4fb790d standard-tests: release 0.3.0 (#27900) 2024-11-04 17:29:15 -08:00
Erick Friis
ba5cba04ff infra: get min versions (#27896) 2024-11-04 23:46:13 +00:00
Bagatur
6973f7214f docs: sidebar capitalization (#27894) 2024-11-04 22:09:32 +00:00
Stéphane Philippart
4b8cd7a09a community: Use new OVHcloud batch embedding (#26209)
- **Description:** change to do the batch embedding server side and not
client side
- **Twitter handle:** @wildagsx

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
2024-11-04 16:40:30 -05:00
Erick Friis
a54f390090 infra: fix prev tag output (#27892) 2024-11-04 12:46:23 -08:00
Erick Friis
75f80c2910 infra: fix prev tag condition (#27891) 2024-11-04 12:42:22 -08:00
Ofer Mendelevitch
d7c39e6dbb community: update Vectara integration (#27869)
Thank you for contributing to LangChain!

- **Description:** Updated Vectara integration
- **Issue:** refresh on descriptions across all demos and added UDF
reranker
- **Dependencies:** None
- **Twitter handle:** @ofermend

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-04 20:40:39 +00:00
Erick Friis
14a71a6e77 infra: fix prev tag calculation (#27890) 2024-11-04 12:38:39 -08:00
Daniel Vu Dao
5745f3bf78 docs: Update messages.mdx (#27856)
### Description
Updates phrasing for the header of the `Messages` section.

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-04 20:36:31 +00:00
sifatj
e02a5ee03e docs: Update VectorStore as_retriever method url in qa_chat_history_how_to.ipynb (#27844)
**Description**: Update VectorStore `as_retriever` method api reference
url in `qa_chat_history_how_to.ipynb`

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-04 20:34:50 +00:00
sifatj
dd1711f3c2 docs: Update max_marginal_relevance_search api reference url in multi_vector.ipynb (#27843)
**Description**: Update VectorStore `max_marginal_relevance_search` api
reference url in `multi_vector.ipynb`

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-04 20:31:36 +00:00
sifatj
aa1f46a03a docs: Update VectorStore .as_retriever method url in vectorstore_retriever.ipynb (#27842)
**Description**: Update VectorStore `.as_retriever` method url in
`vectorstore_retriever.ipynb`

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-04 20:28:11 +00:00
Eric Pinzur
8eb38622a6 community: fixed bug in GraphVectorStoreRetriever (#27846)
Description:

This fixes an issue that mistakenly created in
https://github.com/langchain-ai/langchain/pull/27253. The issue
currently exists only in `langchain-community==0.3.4`.

Test cases were added to prevent this issue in the future.

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-04 20:27:17 +00:00
sifatj
eecf95df9b docs: Update VectorStore api reference url in rag.ipynb (#27841)
**Description**: Update VectorStore api reference url in `rag.ipynb`

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-04 20:27:03 +00:00
sifatj
50563400fb docs: Update broken vectorstore urls in retrievers.ipynb (#27838)
**Description**: Update outdated `VectorStore` api reference urls in
`retrievers.ipynb`

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-04 20:26:03 +00:00
Bagatur
dfa83531ad qdrant,nomic[minor]: bump core deps (#27849) 2024-11-04 20:19:50 +00:00
Erick Friis
4e5cc84d40 infra: release tag compute (#27836) 2024-11-04 12:16:51 -08:00
Rashmi Pawar
f86a09f82c Add nvidia as provider for embedding, llm (#27810)
Documentation: Add NVIDIA as integration provider

cc: @mattf @dglogo

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-11-04 19:45:51 +00:00
Erick Friis
0c62684ce1 Revert "infra: add neo4j to package list" (#27887)
Reverts langchain-ai/langchain#27833

Wait for release
2024-11-04 18:18:38 +00:00
Erick Friis
bcf499df16 infra: add neo4j to package list (#27833) 2024-11-04 09:24:04 -08:00
Duy Huynh
a487ec47f4 community: set default output_token_limit value for PowerBIToolkit to fix validation error (#26308)
### Description:
This PR sets a default value of `output_token_limit = 4000` for the
`PowerBIToolkit` to fix the unintentionally validation error.

### Problem:
When attempting to run a code snippet from [Langchain's PowerBI toolkit
documentation](https://python.langchain.com/v0.1/docs/integrations/toolkits/powerbi/)
to interact with a `PowerBIDataset`, the following error occurs:

```
pydantic.v1.error_wrappers.ValidationError: 1 validation error for QueryPowerBITool
output_token_limit
  none is not an allowed value (type=type_error.none.not_allowed)
```

### Root Cause:
The issue arises because when creating a `QueryPowerBITool`, the
`output_token_limit` parameter is unintentionally set to `None`, which
is the current default for `PowerBIToolkit`. However, `QueryPowerBITool`
expects a default value of `4000` for `output_token_limit`. This
unintended override causes the error.


17659ca2cd/libs/community/langchain_community/agent_toolkits/powerbi/toolkit.py (L63)

17659ca2cd/libs/community/langchain_community/agent_toolkits/powerbi/toolkit.py (L72-L79)

17659ca2cd/libs/community/langchain_community/tools/powerbi/tool.py (L39)

### Solution:
To resolve this, the default value of `output_token_limit` is now
explicitly set to `4000` in `PowerBIToolkit` to prevent the accidental
assignment of `None`.

Co-authored-by: ccurme <chester.curme@gmail.com>
2024-11-04 14:34:27 +00:00
Dobiichi-Origami
f7ced5b211 community: read function call from tool_calls for Qianfan (#26208)
I added one more 'elif' to read tool call message from `tool_calls`

---------

Co-authored-by: Chester Curme <chester.curme@gmail.com>
2024-11-04 14:33:32 +00:00
ono-hiroki
b7d549ae88 docs: fix undefined 'data' variable in document_loader_csv.ipynb (#27872)
**Description:** 
This PR addresses an issue in the CSVLoader example where data is not
defined, causing a NameError. The line `data = loader.load()` is added
to correctly assign the output of loader.load() to the data variable.
2024-11-04 14:10:56 +00:00
Bagatur
3b0b7cfb74 chroma[minor]: release 0.2.0 (#27840) 2024-11-01 18:12:00 -07:00
Jun Yamog
830cad7bc0 core: fix CommaSeparatedListOutputParser to handle columns that may contain commas in it (#26365)
- **Description:**
Currently CommaSeparatedListOutputParser can't handle strings that may
contain commas within a column. It would parse any commas as the
delimiter.
Ex. 
"foo, foo2", "bar", "baz"

It will create 4 columns: "foo", "foo2", "bar", "baz"

This should be 3 columns:

"foo, foo2", "bar", "baz"

- **Dependencies:**
Added 2 additional imports, but they are built in python packages.

import csv
from io import StringIO

- **Twitter handle:** @jkyamog

- [ ] **Add tests and docs**: 
1. added simple unit test test_multiple_items_with_comma

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
2024-11-01 22:42:24 +00:00
Erick Friis
9fedb04dd3 docs: INVALID_CHAT_HISTORY redirect (#27845) 2024-11-01 21:35:11 +00:00
Erick Friis
03a3670a5e infra: remove some special cases (#27839) 2024-11-01 21:13:43 +00:00
Bagatur
002e1c9055 airbyte: remove from master (#27837) 2024-11-01 13:59:34 -07:00
1575 changed files with 36582 additions and 58456 deletions

2
.github/CODEOWNERS vendored Normal file
View File

@@ -0,0 +1,2 @@
/.github/ @efriis @baskaryan @ccurme
/libs/packages.yml @efriis

View File

@@ -1,7 +1,7 @@
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, "templates: ..." for template changes, "infra: ..." for CI changes.
- 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"

View File

@@ -32,19 +32,8 @@ IGNORED_PARTNERS = [
"huggingface",
]
# Cap python version at 3.12 for some packages with dependencies that are not yet
# compatible with python 3.13 (mostly hf tokenizers).
PY_312_MAX_PACKAGES = [
f"libs/partners/{integration}"
for integration in [
"anthropic",
"chroma",
"couchbase",
"huggingface",
"mistralai",
"nomic",
"qdrant",
]
"libs/partners/huggingface", # https://github.com/pytorch/pytorch/issues/130249
]
@@ -135,10 +124,11 @@ def _get_configs_for_single_dir(job: str, dir_: str) -> List[Dict[str, str]]:
elif dir_ in PY_312_MAX_PACKAGES:
py_versions = ["3.9", "3.12"]
elif dir_ in ["libs/community", "libs/langchain"] and job == "extended-tests":
# community extended test resolution in 3.12 is slow
# even in uv
py_versions = ["3.9", "3.11"]
elif dir_ == "libs/langchain" and job == "extended-tests":
py_versions = ["3.9", "3.13"]
elif dir_ == "libs/community" and job == "extended-tests":
py_versions = ["3.9", "3.12"]
elif dir_ == "libs/community" and job == "compile-integration-tests":
# community integration deps are slow in 3.12
@@ -307,7 +297,7 @@ if __name__ == "__main__":
f"Unknown lib: {file}. check_diff.py likely needs "
"an update for this new library!"
)
elif any(file.startswith(p) for p in ["docs/", "templates/", "cookbook/"]):
elif any(file.startswith(p) for p in ["docs/", "cookbook/"]):
if file.startswith("docs/"):
docs_edited = True
dirs_to_run["lint"].add(".")

View File

@@ -7,17 +7,23 @@ else:
# for python 3.10 and below, which doesnt have stdlib tomllib
import tomli as tomllib
from packaging.version import parse as parse_version
from packaging.specifiers import SpecifierSet
from packaging.version import Version
import requests
from packaging.version import parse
from typing import List
import re
MIN_VERSION_LIBS = [
"langchain-core",
"langchain-community",
"langchain",
"langchain-text-splitters",
"numpy",
"SQLAlchemy",
]
@@ -31,29 +37,61 @@ SKIP_IF_PULL_REQUEST = [
]
def get_min_version(version: str) -> str:
# base regex for x.x.x with cases for rc/post/etc
# valid strings: https://peps.python.org/pep-0440/#public-version-identifiers
vstring = r"\d+(?:\.\d+){0,2}(?:(?:a|b|rc|\.post|\.dev)\d+)?"
# case ^x.x.x
_match = re.match(f"^\\^({vstring})$", version)
if _match:
return _match.group(1)
def get_pypi_versions(package_name: str) -> List[str]:
"""
Fetch all available versions for a package from PyPI.
# case >=x.x.x,<y.y.y
_match = re.match(f"^>=({vstring}),<({vstring})$", version)
if _match:
_min = _match.group(1)
_max = _match.group(2)
assert parse_version(_min) < parse_version(_max)
return _min
Args:
package_name (str): Name of the package
# case x.x.x
_match = re.match(f"^({vstring})$", version)
if _match:
return _match.group(1)
Returns:
List[str]: List of all available versions
raise ValueError(f"Unrecognized version format: {version}")
Raises:
requests.exceptions.RequestException: If PyPI API request fails
KeyError: If package not found or response format unexpected
"""
pypi_url = f"https://pypi.org/pypi/{package_name}/json"
response = requests.get(pypi_url)
response.raise_for_status()
return list(response.json()["releases"].keys())
def get_minimum_version(package_name: str, spec_string: str) -> Optional[str]:
"""
Find the minimum published version that satisfies the given constraints.
Args:
package_name (str): Name of the package
spec_string (str): Version specification string (e.g., ">=0.2.43,<0.4.0,!=0.3.0")
Returns:
Optional[str]: Minimum compatible version or None if no compatible version found
"""
# rewrite occurrences of ^0.0.z to 0.0.z (can be anywhere in constraint string)
spec_string = re.sub(r"\^0\.0\.(\d+)", r"0.0.\1", spec_string)
# rewrite occurrences of ^0.y.z to >=0.y.z,<0.y+1 (can be anywhere in constraint string)
for y in range(1, 10):
spec_string = re.sub(rf"\^0\.{y}\.(\d+)", rf">=0.{y}.\1,<0.{y+1}", spec_string)
# rewrite occurrences of ^x.y.z to >=x.y.z,<x+1.0.0 (can be anywhere in constraint string)
for x in range(1, 10):
spec_string = re.sub(
rf"\^{x}\.(\d+)\.(\d+)", rf">={x}.\1.\2,<{x+1}", spec_string
)
spec_set = SpecifierSet(spec_string)
all_versions = get_pypi_versions(package_name)
valid_versions = []
for version_str in all_versions:
try:
version = parse(version_str)
if spec_set.contains(version):
valid_versions.append(version)
except ValueError:
continue
return str(min(valid_versions)) if valid_versions else None
def get_min_version_from_toml(
@@ -96,7 +134,7 @@ def get_min_version_from_toml(
][0]["version"]
# Use parse_version to get the minimum supported version from version_string
min_version = get_min_version(version_string)
min_version = get_minimum_version(lib, version_string)
# Store the minimum version in the min_versions dictionary
min_versions[lib] = min_version
@@ -112,6 +150,20 @@ def check_python_version(version_string, constraint_string):
:param constraint_string: A string representing the package's Python version constraints (e.g. ">=3.6, <4.0").
:return: True if the version matches the constraints, False otherwise.
"""
# rewrite occurrences of ^0.0.z to 0.0.z (can be anywhere in constraint string)
constraint_string = re.sub(r"\^0\.0\.(\d+)", r"0.0.\1", constraint_string)
# rewrite occurrences of ^0.y.z to >=0.y.z,<0.y+1.0 (can be anywhere in constraint string)
for y in range(1, 10):
constraint_string = re.sub(
rf"\^0\.{y}\.(\d+)", rf">=0.{y}.\1,<0.{y+1}.0", constraint_string
)
# rewrite occurrences of ^x.y.z to >=x.y.z,<x+1.0.0 (can be anywhere in constraint string)
for x in range(1, 10):
constraint_string = re.sub(
rf"\^{x}\.0\.(\d+)", rf">={x}.0.\1,<{x+1}.0.0", constraint_string
)
try:
version = Version(version_string)
constraints = SpecifierSet(constraint_string)

View File

@@ -23,24 +23,19 @@ def get_target_dir(package_name: str) -> Path:
return base_path / "partners" / package_name_short
def clean_target_directories(packages: Dict[str, Any]) -> None:
def clean_target_directories(packages: list) -> None:
"""Remove old directories that will be replaced."""
for package in packages["packages"]:
if package["repo"] != "langchain-ai/langchain":
target_dir = get_target_dir(package["name"])
if target_dir.exists():
print(f"Removing {target_dir}")
shutil.rmtree(target_dir)
for package in packages:
target_dir = get_target_dir(package["name"])
if target_dir.exists():
print(f"Removing {target_dir}")
shutil.rmtree(target_dir)
def move_libraries(packages: Dict[str, Any]) -> None:
def move_libraries(packages: list) -> None:
"""Move libraries from their source locations to the target directories."""
for package in packages["packages"]:
# Skip if it's the main langchain repo or disabled
if package["repo"] == "langchain-ai/langchain" or package.get(
"disabled", False
):
continue
for package in packages:
repo_name = package["repo"].split("/")[1]
source_path = package["path"]
@@ -68,7 +63,14 @@ def main():
"""Main function to orchestrate the library sync process."""
try:
# Load packages configuration
packages = load_packages_yaml()
package_yaml = load_packages_yaml()
packages = [
p
for p in package_yaml["packages"]
if not p.get("disabled", False)
and p["repo"].startswith("langchain-ai/")
and p["repo"] != "langchain-ai/langchain"
]
# Clean target directories
clean_target_directories(packages)

View File

@@ -13,7 +13,7 @@ on:
description: "Python version to use"
env:
POETRY_VERSION: "1.7.1"
POETRY_VERSION: "1.8.4"
jobs:
build:
@@ -21,6 +21,7 @@ jobs:
run:
working-directory: ${{ inputs.working-directory }}
runs-on: ubuntu-latest
timeout-minutes: 20
name: "poetry run pytest -m compile tests/integration_tests #${{ inputs.python-version }}"
steps:
- uses: actions/checkout@v4

View File

@@ -12,7 +12,7 @@ on:
description: "Python version to use"
env:
POETRY_VERSION: "1.7.1"
POETRY_VERSION: "1.8.4"
jobs:
build:
@@ -41,12 +41,6 @@ jobs:
shell: bash
run: poetry run pip install "boto3<2" "google-cloud-aiplatform<2"
- name: 'Authenticate to Google Cloud'
id: 'auth'
uses: google-github-actions/auth@v2
with:
credentials_json: '${{ secrets.GOOGLE_CREDENTIALS }}'
- name: Run integration tests
shell: bash
env:
@@ -81,11 +75,11 @@ jobs:
ES_URL: ${{ secrets.ES_URL }}
ES_CLOUD_ID: ${{ secrets.ES_CLOUD_ID }}
ES_API_KEY: ${{ secrets.ES_API_KEY }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # for airbyte
MONGODB_ATLAS_URI: ${{ secrets.MONGODB_ATLAS_URI }}
VOYAGE_API_KEY: ${{ secrets.VOYAGE_API_KEY }}
COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }}
UPSTAGE_API_KEY: ${{ secrets.UPSTAGE_API_KEY }}
XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
run: |
make integration_tests

View File

@@ -13,7 +13,7 @@ on:
description: "Python version to use"
env:
POETRY_VERSION: "1.7.1"
POETRY_VERSION: "1.8.4"
WORKDIR: ${{ inputs.working-directory == '' && '.' || inputs.working-directory }}
# This env var allows us to get inline annotations when ruff has complaints.
@@ -23,6 +23,7 @@ jobs:
build:
name: "make lint #${{ inputs.python-version }}"
runs-on: ubuntu-latest
timeout-minutes: 20
steps:
- uses: actions/checkout@v4

View File

@@ -21,7 +21,7 @@ on:
env:
PYTHON_VERSION: "3.11"
POETRY_VERSION: "1.7.1"
POETRY_VERSION: "1.8.4"
jobs:
build:
@@ -95,9 +95,30 @@ jobs:
PKG_NAME: ${{ needs.build.outputs.pkg-name }}
VERSION: ${{ needs.build.outputs.version }}
run: |
REGEX="^$PKG_NAME==\\d+\\.\\d+\\.\\d+\$"
echo $REGEX
PREV_TAG=$(git tag --sort=-creatordate | grep -P $REGEX || true | head -1)
PREV_TAG="$PKG_NAME==${VERSION%.*}.$(( ${VERSION##*.} - 1 ))"; [[ "${VERSION##*.}" -eq 0 ]] && PREV_TAG=""
# backup case if releasing e.g. 0.3.0, looks up last release
# note if last release (chronologically) was e.g. 0.1.47 it will get
# that instead of the last 0.2 release
if [ -z "$PREV_TAG" ]; then
REGEX="^$PKG_NAME==\\d+\\.\\d+\\.\\d+\$"
echo $REGEX
PREV_TAG=$(git tag --sort=-creatordate | (grep -P $REGEX || true) | head -1)
fi
# if PREV_TAG is empty, let it be empty
if [ -z "$PREV_TAG" ]; then
echo "No previous tag found - first release"
else
# confirm prev-tag actually exists in git repo with git tag
GIT_TAG_RESULT=$(git tag -l "$PREV_TAG")
if [ -z "$GIT_TAG_RESULT" ]; then
echo "Previous tag $PREV_TAG not found in git repo"
exit 1
fi
fi
TAG="${PKG_NAME}==${VERSION}"
if [ "$TAG" == "$PREV_TAG" ]; then
echo "No new version to release"
@@ -146,6 +167,7 @@ jobs:
- release-notes
- test-pypi-publish
runs-on: ubuntu-latest
timeout-minutes: 20
steps:
- uses: actions/checkout@v4
@@ -231,7 +253,7 @@ jobs:
working-directory: ${{ inputs.working-directory }}
id: min-version
run: |
poetry run pip install packaging
poetry run pip install packaging requests
python_version="$(poetry run python --version | awk '{print $2}')"
min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml release $python_version)"
echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"
@@ -246,12 +268,6 @@ jobs:
make tests
working-directory: ${{ inputs.working-directory }}
- name: 'Authenticate to Google Cloud'
id: 'auth'
uses: google-github-actions/auth@v2
with:
credentials_json: '${{ secrets.GOOGLE_CREDENTIALS }}'
- name: Import integration test dependencies
run: poetry install --with test,test_integration
working-directory: ${{ inputs.working-directory }}
@@ -289,11 +305,11 @@ jobs:
ES_URL: ${{ secrets.ES_URL }}
ES_CLOUD_ID: ${{ secrets.ES_CLOUD_ID }}
ES_API_KEY: ${{ secrets.ES_API_KEY }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # for airbyte
MONGODB_ATLAS_URI: ${{ secrets.MONGODB_ATLAS_URI }}
VOYAGE_API_KEY: ${{ secrets.VOYAGE_API_KEY }}
UPSTAGE_API_KEY: ${{ secrets.UPSTAGE_API_KEY }}
FIREWORKS_API_KEY: ${{ secrets.FIREWORKS_API_KEY }}
XAI_API_KEY: ${{ secrets.XAI_API_KEY }}
run: make integration_tests
working-directory: ${{ inputs.working-directory }}

View File

@@ -1,62 +0,0 @@
name: release_docker
on:
workflow_call:
inputs:
dockerfile:
required: true
type: string
description: "Path to the Dockerfile to build"
image:
required: true
type: string
description: "Name of the image to build"
env:
TEST_TAG: ${{ inputs.image }}:test
LATEST_TAG: ${{ inputs.image }}:latest
jobs:
docker:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Get git tag
uses: actions-ecosystem/action-get-latest-tag@v1
id: get-latest-tag
- name: Set docker tag
env:
VERSION: ${{ steps.get-latest-tag.outputs.tag }}
run: |
echo "VERSION_TAG=${{ inputs.image }}:${VERSION#v}" >> $GITHUB_ENV
- name: Set up QEMU
uses: docker/setup-qemu-action@v3
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Login to Docker Hub
uses: docker/login-action@v3
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Build for Test
uses: docker/build-push-action@v5
with:
context: .
file: ${{ inputs.dockerfile }}
load: true
tags: ${{ env.TEST_TAG }}
- name: Test
run: |
docker run --rm ${{ env.TEST_TAG }} python -c "import langchain"
- name: Build and Push to Docker Hub
uses: docker/build-push-action@v5
with:
context: .
file: ${{ inputs.dockerfile }}
# We can only build for the intersection of platforms supported by
# QEMU and base python image, for now build only for
# linux/amd64 and linux/arm64
platforms: linux/amd64,linux/arm64
tags: ${{ env.LATEST_TAG }},${{ env.VERSION_TAG }}
push: true

View File

@@ -13,7 +13,7 @@ on:
description: "Python version to use"
env:
POETRY_VERSION: "1.7.1"
POETRY_VERSION: "1.8.4"
jobs:
build:
@@ -21,6 +21,7 @@ jobs:
run:
working-directory: ${{ inputs.working-directory }}
runs-on: ubuntu-latest
timeout-minutes: 20
name: "make test #${{ inputs.python-version }}"
steps:
- uses: actions/checkout@v4
@@ -47,7 +48,7 @@ jobs:
id: min-version
shell: bash
run: |
poetry run pip install packaging tomli
poetry run pip install packaging tomli requests
python_version="$(poetry run python --version | awk '{print $2}')"
min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml pull_request $python_version)"
echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"

View File

@@ -9,11 +9,12 @@ on:
description: "Python version to use"
env:
POETRY_VERSION: "1.7.1"
POETRY_VERSION: "1.8.4"
jobs:
build:
runs-on: ubuntu-latest
timeout-minutes: 20
name: "check doc imports #${{ inputs.python-version }}"
steps:
- uses: actions/checkout@v4

View File

@@ -18,7 +18,7 @@ on:
description: "Pydantic version to test."
env:
POETRY_VERSION: "1.7.1"
POETRY_VERSION: "1.8.4"
jobs:
build:
@@ -26,6 +26,7 @@ jobs:
run:
working-directory: ${{ inputs.working-directory }}
runs-on: ubuntu-latest
timeout-minutes: 20
name: "make test # pydantic: ~=${{ inputs.pydantic-version }}, python: ${{ inputs.python-version }}, "
steps:
- uses: actions/checkout@v4

View File

@@ -14,7 +14,7 @@ on:
description: "Release from a non-master branch (danger!)"
env:
POETRY_VERSION: "1.7.1"
POETRY_VERSION: "1.8.4"
PYTHON_VERSION: "3.10"
jobs:

View File

@@ -5,7 +5,7 @@ on:
schedule:
- cron: '0 13 * * *'
env:
POETRY_VERSION: "1.8.1"
POETRY_VERSION: "1.8.4"
PYTHON_VERSION: "3.11"
jobs:
@@ -37,9 +37,9 @@ jobs:
# Get unique repositories
REPOS=$(echo "$REPOS_UNSORTED" | sort -u)
# Checkout each unique repository
# Checkout each unique repository that is in langchain-ai org
for repo in $REPOS; do
if [ "$repo" != "langchain-ai/langchain" ]; then
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
@@ -72,10 +72,8 @@ jobs:
- name: Install dependencies
working-directory: langchain
run: |
# skip airbyte due to pandas dependency issue
python -m uv pip install $(ls ./libs/partners | grep -vE "airbyte" | xargs -I {} echo "./libs/partners/{}")
python -m uv pip install libs/core libs/langchain libs/text-splitters libs/community libs/experimental
python -m uv pip install $(ls ./libs/partners | xargs -I {} echo "./libs/partners/{}")
python -m uv pip install libs/core libs/langchain libs/text-splitters libs/community libs/experimental libs/standard-tests
python -m uv pip install -r docs/api_reference/requirements.txt
- name: Set Git config

View File

@@ -17,7 +17,7 @@ concurrency:
cancel-in-progress: true
env:
POETRY_VERSION: "1.7.1"
POETRY_VERSION: "1.8.4"
jobs:
build:
@@ -31,7 +31,7 @@ jobs:
uses: Ana06/get-changed-files@v2.2.0
- id: set-matrix
run: |
python -m pip install packaging
python -m pip install packaging requests
python .github/scripts/check_diff.py ${{ steps.files.outputs.all }} >> $GITHUB_OUTPUT
outputs:
lint: ${{ steps.set-matrix.outputs.lint }}
@@ -119,6 +119,7 @@ jobs:
job-configs: ${{ fromJson(needs.build.outputs.extended-tests) }}
fail-fast: false
runs-on: ubuntu-latest
timeout-minutes: 20
defaults:
run:
working-directory: ${{ matrix.job-configs.working-directory }}

View File

@@ -1,14 +0,0 @@
---
name: docker/langchain/langchain Release
on:
workflow_dispatch: # Allows to trigger the workflow manually in GitHub UI
workflow_call: # Allows triggering from another workflow
jobs:
release:
uses: ./.github/workflows/_release_docker.yml
with:
dockerfile: docker/Dockerfile.base
image: langchain/langchain
secrets: inherit

View File

@@ -15,7 +15,7 @@ on:
- cron: '0 13 * * *'
env:
POETRY_VERSION: "1.7.1"
POETRY_VERSION: "1.8.4"
jobs:
build:

View File

@@ -2,32 +2,70 @@ name: Scheduled tests
on:
workflow_dispatch: # Allows to trigger the workflow manually in GitHub UI
inputs:
working-directory-force:
type: string
description: "From which folder this pipeline executes - defaults to all in matrix - example value: libs/partners/anthropic"
python-version-force:
type: string
description: "Python version to use - defaults to 3.9 and 3.11 in matrix - example value: 3.9"
schedule:
- cron: '0 13 * * *'
env:
POETRY_VERSION: "1.7.1"
POETRY_VERSION: "1.8.4"
DEFAULT_LIBS: >
[
"libs/partners/openai",
"libs/partners/anthropic",
"libs/partners/fireworks",
"libs/partners/groq",
"libs/partners/mistralai",
"libs/partners/google-vertexai",
"libs/partners/google-genai",
"libs/partners/aws"
]
jobs:
compute-matrix:
if: github.repository_owner == 'langchain-ai' || github.event_name != 'schedule'
runs-on: ubuntu-latest
name: Compute matrix
outputs:
matrix: ${{ steps.set-matrix.outputs.matrix }}
steps:
- name: Set matrix
id: set-matrix
env:
DEFAULT_LIBS: ${{ env.DEFAULT_LIBS }}
WORKING_DIRECTORY_FORCE: ${{ github.event.inputs.working-directory-force || '' }}
PYTHON_VERSION_FORCE: ${{ github.event.inputs.python-version-force || '' }}
run: |
# echo "matrix=..." where matrix is a json formatted str with keys python-version and working-directory
# python-version should default to 3.9 and 3.11, but is overridden to [PYTHON_VERSION_FORCE] if set
# working-directory should default to DEFAULT_LIBS, but is overridden to [WORKING_DIRECTORY_FORCE] if set
python_version='["3.9", "3.11"]'
working_directory="$DEFAULT_LIBS"
if [ -n "$PYTHON_VERSION_FORCE" ]; then
python_version="[\"$PYTHON_VERSION_FORCE\"]"
fi
if [ -n "$WORKING_DIRECTORY_FORCE" ]; then
working_directory="[\"$WORKING_DIRECTORY_FORCE\"]"
fi
matrix="{\"python-version\": $python_version, \"working-directory\": $working_directory}"
echo $matrix
echo "matrix=$matrix" >> $GITHUB_OUTPUT
build:
if: github.repository_owner == 'langchain-ai' || github.event_name != 'schedule'
name: Python ${{ matrix.python-version }} - ${{ matrix.working-directory }}
runs-on: ubuntu-latest
needs: [compute-matrix]
timeout-minutes: 20
strategy:
fail-fast: false
matrix:
python-version:
- "3.9"
- "3.11"
working-directory:
- "libs/partners/openai"
- "libs/partners/anthropic"
- "libs/partners/fireworks"
- "libs/partners/groq"
- "libs/partners/mistralai"
- "libs/partners/google-vertexai"
- "libs/partners/google-genai"
- "libs/partners/aws"
python-version: ${{ fromJSON(needs.compute-matrix.outputs.matrix).python-version }}
working-directory: ${{ fromJSON(needs.compute-matrix.outputs.matrix).working-directory }}
steps:
- uses: actions/checkout@v4

View File

@@ -1,11 +1,11 @@
# Migrating
Please see the following guides for migratin LangChain code:
Please see the following guides for migrating LangChain code:
* Migrate to [LangChain v0.3](https://python.langchain.com/docs/versions/v0_3/)
* Migrate to [LangChain v0.2](https://python.langchain.com/docs/versions/v0_2/)
* Migrating from [LangChain 0.0.x Chains](https://python.langchain.com/docs/versions/migrating_chains/)
* Upgrate to [LangGraph Memory](https://python.langchain.com/docs/versions/migrating_memory/)
* Upgrade to [LangGraph Memory](https://python.langchain.com/docs/versions/migrating_memory/)
The [LangChain CLI](https://python.langchain.com/docs/versions/v0_3/#migrate-using-langchain-cli) can help automatically upgrade your code to use non deprecated imports.
The [LangChain CLI](https://python.langchain.com/docs/versions/v0_3/#migrate-using-langchain-cli) can help you automatically upgrade your code to use non-deprecated imports.
This will be especially helpful if you're still on either version 0.0.x or 0.1.x of LangChain.

View File

@@ -66,12 +66,12 @@ spell_fix:
## lint: Run linting on the project.
lint lint_package lint_tests:
poetry run ruff check docs templates cookbook
poetry run ruff format docs templates cookbook --diff
poetry run ruff check --select I docs templates cookbook
git grep 'from langchain import' docs/docs templates cookbook | grep -vE 'from langchain import (hub)' && exit 1 || exit 0
poetry run ruff check docs cookbook
poetry run ruff format docs cookbook cookbook --diff
poetry run ruff check --select I docs cookbook
git grep 'from langchain import' docs/docs cookbook | grep -vE 'from langchain import (hub)' && exit 1 || exit 0
## format: Format the project files.
format format_diff:
poetry run ruff format docs templates cookbook
poetry run ruff check --select I --fix docs templates cookbook
poetry run ruff format docs cookbook
poetry run ruff check --select I --fix docs cookbook

View File

@@ -59,7 +59,8 @@ For these applications, LangChain simplifies the entire application lifecycle:
- **[LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/)**: Turn your LangGraph applications into production-ready APIs and Assistants.
![Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.](docs/static/svg/langchain_stack_062024.svg "LangChain Architecture Overview")
![Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.](docs/static/svg/langchain_stack_112024.svg#gh-light-mode-only "LangChain Architecture Overview")
![Diagram outlining the hierarchical organization of the LangChain framework, displaying the interconnected parts across multiple layers.](docs/static/svg/langchain_stack_112024_dark.svg#gh-dark-mode-only "LangChain Architecture Overview")
## 🧱 What can you build with LangChain?
@@ -128,7 +129,7 @@ Please see [here](https://python.langchain.com) for full documentation, which in
- [🦜🛠️ LangSmith](https://docs.smith.langchain.com/): Trace and evaluate your language model applications and intelligent agents to help you move from prototype to production.
- [🦜🕸️ LangGraph](https://langchain-ai.github.io/langgraph/): Create stateful, multi-actor applications with LLMs. Integrates smoothly with LangChain, but can be used without it.
- [🦜🏓 LangServe](https://python.langchain.com/docs/langserve): Deploy LangChain runnables and chains as REST APIs.
- [🦜🕸️ LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform): Deploy LLM applications built with LangGraph into production.
## 💁 Contributing

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@@ -62,4 +62,6 @@ Notebook | Description
[wikibase_agent.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/wikibase_agent.ipynb) | Create a simple wikibase agent that utilizes sparql generation, with testing done on http://wikidata.org.
[oracleai_demo.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/oracleai_demo.ipynb) | This guide outlines how to utilize Oracle AI Vector Search alongside Langchain for an end-to-end RAG pipeline, providing step-by-step examples. The process includes loading documents from various sources using OracleDocLoader, summarizing them either within or outside the database with OracleSummary, and generating embeddings similarly through OracleEmbeddings. It also covers chunking documents according to specific requirements using Advanced Oracle Capabilities from OracleTextSplitter, and finally, storing and indexing these documents in a Vector Store for querying with OracleVS.
[rag-locally-on-intel-cpu.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/rag-locally-on-intel-cpu.ipynb) | Perform Retrieval-Augmented-Generation (RAG) on locally downloaded open-source models using langchain and open source tools and execute it on Intel Xeon CPU. We showed an example of how to apply RAG on Llama 2 model and enable it to answer the queries related to Intel Q1 2024 earnings release.
[visual_RAG_vdms.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/visual_RAG_vdms.ipynb) | Performs Visual Retrieval-Augmented-Generation (RAG) using videos and scene descriptions generated by open source models.
[visual_RAG_vdms.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/visual_RAG_vdms.ipynb) | Performs Visual Retrieval-Augmented-Generation (RAG) using videos and scene descriptions generated by open source models.
[contextual_rag.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/contextual_rag.ipynb) | Performs contextual retrieval-augmented generation (RAG) prepending chunk-specific explanatory context to each chunk before embedding.
[rag-agents-locally-on-intel-cpu.ipynb](https://github.com/langchain-ai/langchain/tree/master/cookbook/local_rag_agents_intel_cpu.ipynb) | Build a RAG agent locally with open source models that routes questions through one of two paths to find answers. The agent generates answers based on documents retrieved from either the vector database or retrieved from web search. If the vector database lacks relevant information, the agent opts for web search. Open-source models for LLM and embeddings are used locally on an Intel Xeon CPU to execute this pipeline.

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@@ -1,3 +0,0 @@
FROM python:3.11
RUN pip install langchain

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@@ -1,12 +0,0 @@
# Makefile
build_graphdb:
docker build --tag graphdb ./graphdb
start_graphdb:
docker-compose up -d graphdb
down:
docker-compose down -v --remove-orphans
.PHONY: build_graphdb start_graphdb down

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@@ -1,84 +0,0 @@
# docker-compose to make it easier to spin up integration tests.
# Services should use NON standard ports to avoid collision with
# any existing services that might be used for development.
# ATTENTION: When adding a service below use a non-standard port
# increment by one from the preceding port.
# For credentials always use `langchain` and `langchain` for the
# username and password.
version: "3"
name: langchain-tests
services:
redis:
image: redis/redis-stack-server:latest
# We use non standard ports since
# these instances are used for testing
# and users may already have existing
# redis instances set up locally
# for other projects
ports:
- "6020:6379"
volumes:
- ./redis-volume:/data
graphdb:
image: graphdb
ports:
- "6021:7200"
mongo:
image: mongo:latest
container_name: mongo_container
ports:
- "6022:27017"
environment:
MONGO_INITDB_ROOT_USERNAME: langchain
MONGO_INITDB_ROOT_PASSWORD: langchain
postgres:
image: postgres:16
environment:
POSTGRES_DB: langchain
POSTGRES_USER: langchain
POSTGRES_PASSWORD: langchain
ports:
- "6023:5432"
command: |
postgres -c log_statement=all
healthcheck:
test:
[
"CMD-SHELL",
"psql postgresql://langchain:langchain@localhost/langchain --command 'SELECT 1;' || exit 1",
]
interval: 5s
retries: 60
volumes:
- postgres_data:/var/lib/postgresql/data
pgvector:
# postgres with the pgvector extension
image: ankane/pgvector
environment:
POSTGRES_DB: langchain
POSTGRES_USER: langchain
POSTGRES_PASSWORD: langchain
ports:
- "6024:5432"
command: |
postgres -c log_statement=all
healthcheck:
test:
[
"CMD-SHELL",
"psql postgresql://langchain:langchain@localhost/langchain --command 'SELECT 1;' || exit 1",
]
interval: 5s
retries: 60
volumes:
- postgres_data_pgvector:/var/lib/postgresql/data
vdms:
image: intellabs/vdms:latest
container_name: vdms_container
ports:
- "6025:55555"
volumes:
postgres_data:
postgres_data_pgvector:

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@@ -1,5 +0,0 @@
FROM ontotext/graphdb:10.5.1
RUN mkdir -p /opt/graphdb/dist/data/repositories/langchain
COPY config.ttl /opt/graphdb/dist/data/repositories/langchain/
COPY graphdb_create.sh /run.sh
ENTRYPOINT bash /run.sh

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@@ -1,46 +0,0 @@
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>.
@prefix rep: <http://www.openrdf.org/config/repository#>.
@prefix sr: <http://www.openrdf.org/config/repository/sail#>.
@prefix sail: <http://www.openrdf.org/config/sail#>.
@prefix graphdb: <http://www.ontotext.com/config/graphdb#>.
[] a rep:Repository ;
rep:repositoryID "langchain" ;
rdfs:label "" ;
rep:repositoryImpl [
rep:repositoryType "graphdb:SailRepository" ;
sr:sailImpl [
sail:sailType "graphdb:Sail" ;
graphdb:read-only "false" ;
# Inference and Validation
graphdb:ruleset "empty" ;
graphdb:disable-sameAs "true" ;
graphdb:check-for-inconsistencies "false" ;
# Indexing
graphdb:entity-id-size "32" ;
graphdb:enable-context-index "false" ;
graphdb:enablePredicateList "true" ;
graphdb:enable-fts-index "false" ;
graphdb:fts-indexes ("default" "iri") ;
graphdb:fts-string-literals-index "default" ;
graphdb:fts-iris-index "none" ;
# Queries and Updates
graphdb:query-timeout "0" ;
graphdb:throw-QueryEvaluationException-on-timeout "false" ;
graphdb:query-limit-results "0" ;
# Settable in the file but otherwise hidden in the UI and in the RDF4J console
graphdb:base-URL "http://example.org/owlim#" ;
graphdb:defaultNS "" ;
graphdb:imports "" ;
graphdb:repository-type "file-repository" ;
graphdb:storage-folder "storage" ;
graphdb:entity-index-size "10000000" ;
graphdb:in-memory-literal-properties "true" ;
graphdb:enable-literal-index "true" ;
]
].

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@@ -1,28 +0,0 @@
#! /bin/bash
REPOSITORY_ID="langchain"
GRAPHDB_URI="http://localhost:7200/"
echo -e "\nUsing GraphDB: ${GRAPHDB_URI}"
function startGraphDB {
echo -e "\nStarting GraphDB..."
exec /opt/graphdb/dist/bin/graphdb
}
function waitGraphDBStart {
echo -e "\nWaiting GraphDB to start..."
for _ in $(seq 1 5); do
CHECK_RES=$(curl --silent --write-out '%{http_code}' --output /dev/null ${GRAPHDB_URI}/rest/repositories)
if [ "${CHECK_RES}" = '200' ]; then
echo -e "\nUp and running"
break
fi
sleep 30s
echo "CHECK_RES: ${CHECK_RES}"
done
}
startGraphDB &
waitGraphDBStart
wait

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@@ -38,7 +38,7 @@ install-py-deps:
generate-files:
mkdir -p $(INTERMEDIATE_DIR)
cp -r $(SOURCE_DIR)/* $(INTERMEDIATE_DIR)
cp -rp $(SOURCE_DIR)/* $(INTERMEDIATE_DIR)
$(PYTHON) scripts/tool_feat_table.py $(INTERMEDIATE_DIR)

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@@ -479,11 +479,11 @@ def _package_namespace(package_name: str) -> str:
Returns:
modified package_name: Can be either "langchain" or "langchain_{package_name}"
"""
return (
package_name
if package_name == "langchain"
else f"langchain_{package_name.replace('-', '_')}"
)
if package_name == "langchain":
return "langchain"
if package_name == "standard-tests":
return "langchain_tests"
return f"langchain_{package_name.replace('-', '_')}"
def _package_dir(package_name: str = "langchain") -> Path:
@@ -495,6 +495,7 @@ def _package_dir(package_name: str = "langchain") -> Path:
"core",
"cli",
"text-splitters",
"standard-tests",
):
return ROOT_DIR / "libs" / package_name / _package_namespace(package_name)
else:
@@ -530,7 +531,6 @@ def _out_file_path(package_name: str) -> Path:
def _build_index(dirs: List[str]) -> None:
custom_names = {
"airbyte": "Airbyte",
"aws": "AWS",
"ai21": "AI21",
"ibm": "IBM",
@@ -650,7 +650,7 @@ def main(dirs: Optional[list] = None) -> None:
dirs = [
dir_
for dir_ in os.listdir(ROOT_DIR / "libs")
if dir_ not in ("cli", "partners", "standard-tests", "packages.yml")
if dir_ not in ("cli", "partners", "packages.yml")
]
dirs += [
dir_

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