Commit Graph

2232 Commits (0e149bbb4c03077e13564680460fce6769357746)

Author SHA1 Message Date
Sirjanpreet Singh Banga 425e5e1791
community[minor]: rename ChatGPTRouter to GPTRouter (#14913)
**Description:**: Rename integration to GPTRouter 
**Tag maintainer:** @Gupta-Anubhav12 @samanyougarg @sirjan-ws-ext  
**Twitter handle:** [@SamanyouGarg](https://twitter.com/SamanyouGarg)
7 months ago
JaguarDB 992b04e475
community[minor]: added jaguar vector store (#14838)
Description: A new vector store Jaguar is being added. Class, test
scripts, and documentation is added.
Issue: None -- This is the first PR contributing to LangChain
Dependencies: This depends on "pip install -U jaguardb-http-client"
client http package
Tag maintainer: @baskaryan, @eyurtsev, @hwchase1
Twitter handle: @workbot

---------

Co-authored-by: JY <jyjy@jaguardb>
Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Bagatur a5be9f9475
mistralai: Add langchain-mistralai partner package (#14783)
Co-authored-by: Chad Phillips <chad@apartmentlines.com>
7 months ago
Sirjanpreet Singh Banga 44cb899a93
community[minor]: Integrating GPTRouter (#14900)
**Description:** Adding a langchain integration for
[GPTRouter](https://gpt-router.writesonic.com/) 🚀 ,
 **Tag maintainer:** @Gupta-Anubhav12 @samanyougarg @sirjan-ws-ext  
 **Twitter handle:** [@SamanyouGarg](https://twitter.com/SamanyouGarg)
 
Integration Tests Passing:
<img width="1137" alt="Screenshot 2023-12-19 at 5 45 31 PM"
src="https://github.com/Writesonic/langchain/assets/151817113/4a59df9a-ee30-47aa-9df9-b8c4eeb9dc76">
7 months ago
Bagatur 1069a93d18
langchain[patch]: export sagemaker LLMContentHandler (#14906)
Resolves #14904
7 months ago
Leonid Ganeline b2fd41331e
docs: docstrings `langchain_community` update (#14889)
Addded missed docstrings. Fixed inconsistency in docstrings.

**Note** CC @efriis 
There were PR errors on
`langchain_experimental/prompt_injection_identifier/hugging_face_identifier.py`
But, I didn't touch this file in this PR! Can it be some cache problems?
I fixed this error.
7 months ago
William FH 583696732c
[Partner] NVIDIA TRT Package (#14733)
Simplify #13976 and add as a separate package.

- [] Add README
- [X] Add doc notebook
- [X] Add simple LLM integration

---------

Co-authored-by: Jeremy Dyer <jdye64@gmail.com>
7 months ago
William FH 0d4cbbcc85
[Partner] Update google integration test (#14883)
Gemini has decided that pickle rick is unsafe:
https://github.com/langchain-ai/langchain/actions/runs/7256642294/job/19769249444#step:8:189


![image](https://github.com/langchain-ai/langchain/assets/13333726/cfbf4312-53b6-4290-84ee-6ce0742e739e)
7 months ago
William FH f88af1f1cd
[Partner] Google GenAi new release (#14882)
to support the system message merging

Also fix integration tests that weren't passing
7 months ago
Leonid Kuligin 2d0f1cae8c
added history and support for system_message as param (#14824)
- **Description:** added support for chat_history for Google
GenerativeAI (to actually use the `chat` API) plus since Gemini
currently doesn't have a support for SystemMessage, added support for it
only if a user provides additional `convert_system_message_to_human`
flag during model initialization (in this case, SystemMessage would be
prepanded to the first HumanMessage)
  - **Issue:** #14710 
  - **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
  - **Twitter handle:** lkuligin

---------

Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
7 months ago
Oleksandr Yaremchuk d82a3828f2
Improve prompt injection detection (#14842)
- **Description:** This is addition to [my previous
PR](https://github.com/langchain-ai/langchain/pull/13930) with
improvements to flexibility allowing different models and notebook to
use ONNX runtime for faster speed. Since the last PR, [our
model](https://huggingface.co/laiyer/deberta-v3-base-prompt-injection)
got more than 660k downloads, and with the [public
benchmark](https://huggingface.co/spaces/laiyer/prompt-injection-benchmark)
showed much fewer false-positives than the previous one from deepset.
Additionally, on the ONNX runtime, it can be running 3x faster on the
CPU, which might be handy for builders using Langchain.
 **Issue:** N/A
 - **Dependencies:** N/A
 - **Tag maintainer:** N/A 
- **Twitter handle:** `@laiyer_ai`
7 months ago
abhjaw 6fbd068b3f
Update kendra.py to avoid Kendra query ValidationException (#14866)
Fixing issue - https://github.com/langchain-ai/langchain/issues/14494 to
avoid Kendra query ValidationException

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Replace this entire comment with:
- **Description:** Update kendra.py to avoid Kendra query
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- **Issue:** the issue
#https://github.com/langchain-ai/langchain/issues/14494,
  - **Dependencies:** None,
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---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
7 months ago
Leonid Ganeline 6577b0d987
docstrings `langchain` update (#14870)
Added missed docstrings
7 months ago
Kane Sweet ea331f3136
Fix token text splitter duplicates (#14848)
- **Description:** 
- Add a break case to `text_splitter.py::split_text_on_tokens()` to
avoid unwanted item at the end of result.
    - Add a testcase to enforce the behavior.
  - **Issue:** 
    - #14649 
    - #5897
  - **Dependencies:** n/a,
 
---

**Quick illustration of change:**

```
text = "foo bar baz 123"

tokenizer = Tokenizer(
        chunk_overlap=3,
        tokens_per_chunk=7
)

output = split_text_on_tokens(text=text, tokenizer=tokenizer)
```
output before change: `["foo bar", "bar baz", "baz 123", "123"]`
output after change: `["foo bar", "bar baz", "baz 123"]`
7 months ago
Leonid Ganeline 14d04180eb
docstrings `core` update (#14871)
Added missed docstrings
7 months ago
Erick Friis 5f839beab9
community: replace deprecated davinci models (#14860)
This is technically a breaking change because it'll switch out default
models from `text-davinci-003` to `gpt-3.5-turbo-instruct`, but OpenAI
is shutting off those endpoints on 1/4 anyways.

Feels less disruptive to switch out the default instead.
7 months ago
Harrison Chase 193f107cb5
add methods to deserialize prompts that were old (#14857) 7 months ago
Bagatur 714bef0cb6
langchain[patch]: Release 0.0.351 (#14867) 7 months ago
Bagatur 61ad0e8be9
community[patch]: Release 0.0.4 (#14864) 7 months ago
Bob Lin 5de1dc72b9
community[patch]: Update Tongyi default model_name (#14844)
<img width="1305" alt="Screenshot 2023-12-18 at 9 54 01 PM"
src="https://github.com/langchain-ai/langchain/assets/10000925/c943fd81-cd48-46eb-8dff-4680424d9ba9">

The current model is no longer available.
7 months ago
William FH 5fc2c578cf
[Bugfix] Ensure tool output is a str, for OAI Assistant (#14830)
Tool outputs have to be strings apparently. Ensure they are formatted
correctly before passing as intermediate steps.
 

```
BadRequestError: Error code: 400 - {'error': {'message': '1 validation error for Request\nbody -> tool_outputs -> 0 -> output\n  str type expected (type=type_error.str)', 'type': 'invalid_request_error', 'param': None, 'code': None}}
```
7 months ago
William FH bbc98a234d
Update parser (#14831)
Gpt-3.5 sometimes calls with empty string arguments instead of `{}`

I'd assume it's because the typescript representation on their backend
makes it a bit ambiguous.
7 months ago
Vlad Kolesnikov 11fda490ca
community[minor]: New model parameters and dynamic batching for VertexAIEmbeddings (#13999)
- **Description:** VertexAIEmbeddings performance improvements
  - **Twitter handle:** @vladkol

## Improvements

- Dynamic batch size, starting from 250, lowering down to 5. Batch size
varies across regions.
Some regions support larger batches, and it significantly improves
performance.
When running large batches of texts in `us-central1`, performance gain
can be up to 3.5x.
The dynamic batching also makes sure every batch is below 20K token
limit.
- New model parameter `embeddings_type` that translates to `task_type`
parameter of the API. Newer model versions support [different embeddings
task
types](https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings#api_changes_to_models_released_on_or_after_august_2023).
7 months ago
William FH 2d91d2b978
community: Add logprobs in gen output (#14826)
Now that it's supported again for OAI chat models .

Shame this wouldn't include it in the `.invoke()` output though (it's
not included in the message itself). Would need to do a follow-up for
that to be the case
7 months ago
Dmitry Tyumentsev 78ae276df7
community[patch]: fix agenerate return value (#14815)
Fixed:
  -  `_agenerate` return value in the YandexGPT Chat Model
  - duplicate line in the documentation

Co-authored-by: Dmitry Tyumentsev <dmitry.tyumentsev@raftds.com>
7 months ago
sujeet f1d3f29bc4
community[patch]: support for Sybase SQL anywhere added. (#14821)
- **Description:** support for Sybase SQL anywhere added in
sql_database.py file at path
langchain\libs\community\langchain_community\utilities
- **Issue:** It will resolve default schema setting for Sybase SQL
anywhere
  - **Dependencies:** No,
  - **Tag maintainer:** @baskaryan, @eyurtsev, @hwchase17,
  - **Twitter handle:** NA

---------

Co-authored-by: learn360sujeet <121271779+learn360sujeet@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Erick Friis 8a07c56313
docs: developer docs (#14776)
Builds out a developer documentation section in the docs

- Links it from contributing.md
- Adds an initial guide on how to contribute an integration

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
William FH 01693b291e
Permit updates in indexing (#14482) 7 months ago
Noah Stapp 34e6f3ff72
community[patch]: Implement similarity_score_threshold for MongoDB Vector Store (#14740)
Adds the option for `similarity_score_threshold` when using
`MongoDBAtlasVectorSearch` as a vector store retriever.

Example use:

```
vector_search = MongoDBAtlasVectorSearch.from_documents(...)

qa_retriever = vector_search.as_retriever(
    search_type="similarity_score_threshold",
    search_kwargs={
        "score_threshold": 0.5,
    }
)

qa = RetrievalQA.from_chain_type(
	llm=OpenAI(), 
	chain_type="stuff", 
	retriever=qa_retriever,
)

docs = qa({"query": "..."})
```

I've tested this feature locally, using a MongoDB Atlas Cluster with a
vector search index.
7 months ago
Dmitry Tyumentsev dcead816df
community[patch]: Update YandexGPT API (#14773)
Update LLMand Chat model to use new api version

---------

Co-authored-by: Dmitry Tyumentsev <dmitry.tyumentsev@raftds.com>
7 months ago
Lance Martin 42421860bc
Add image support for Ollama (#14713)
Support [LLaVA](https://ollama.ai/library/llava):
* Upgrade Ollama
* `ollama pull llava`

Ensure compatibility with [image prompt
template](https://github.com/langchain-ai/langchain/pull/14263)

---------

Co-authored-by: jacoblee93 <jacoblee93@gmail.com>
7 months ago
Harrison Chase 16399fd61d
langchain[patch]: remove unused imports (#14680)
Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Karim Lalani a0064330b1
community[minor]: Add SurrealDB vectorstore (#13331)
**Description:** Vectorstore implementation around
[SurrealDB](https://www.surrealdb.com)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
William FH c5296fd42c
[Documentation] Updates to NVIDIA Playground/Foundation Model naming.… (#14770)
…  (#14723)

- **Description:** Minor updates per marketing requests. Namely, name
decisions (AI Foundation Models / AI Playground)
  - **Tag maintainer:** @hinthornw 

Do want to pass around the PR for a bit and ask a few more marketing
questions before merge, but just want to make sure I'm not working in a
vacuum. No major changes to code functionality intended; the PR should
be for documentation and only minor tweaks.

Note: QA model is a bit borked across staging/prod right now. Relevant
teams have been informed and are looking into it, and I'm placeholdered
the response to that of a working version in the notebook.

Co-authored-by: Vadim Kudlay <32310964+VKudlay@users.noreply.github.com>
7 months ago
William FH 4855964332
Fix OAI Tool Message (#14746)
See format here:
https://platform.openai.com/docs/guides/function-calling/parallel-function-calling


It expects a "name" argument, which we aren't providing by default.


![image](https://github.com/langchain-ai/langchain/assets/13333726/7cd82978-337c-40a1-b099-3bb25cd57eb4)


Alternative is to add the 'name' field directly to the message if people
prefer.
7 months ago
William FH e3132a7efc
[Evals] End project (#14324)
Also does some cleanup.

Now that we support updating/ending projects, do this automatically.
Then you can edit the name of the project in the app.
7 months ago
William FH 93c7eb4e6b
[Tracing] String Stacktrace (#14131)
Add full stacktrace
7 months ago
Leonid Kuligin 7f42811e14
google-genai[patch], community[patch]: Added support for new Google GenerativeAI models (#14530)
Replace this entire comment with:
  - **Description:** added support for new Google GenerativeAI models
  - **Twitter handle:** lkuligin

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Bagatur b802dd96f2
core[patch]: Release 0.1.1 (#14738) 7 months ago
William FH 9d4100f915
Revert "[Hub|tracing] Tag hub prompts" (#14735)
Reverts langchain-ai/langchain#14720
7 months ago
Erick Friis 9fb26a2a71
community[patch]: fix pgvector sqlalchemy (#14726)
Fixes #14699
7 months ago
Bagatur 1cec0afc62
google-genai[patch]: add google-genai integration deps and extras (#14731) 7 months ago
William FH 852b9ca494
[Hub|tracing] Tag hub prompts (#14720)
If you're using the hub, you'll likely be interested in tracking the
commit/object when tracing. This PR adds it to the config
7 months ago
William FH 451c5d1d8c
[Integration] NVIDIA AI Playground (#14648)
Description: Added NVIDIA AI Playground Initial support for a selection of models (Llama models, Mistral, etc.)

Dependencies: These models do depend on the AI Playground services in NVIDIA NGC. API keys with a significant amount of trial compute are available (10K queries as of the time of writing).

H/t to @VKudlay
7 months ago
William FH 1e21a3f7ed
[Partner] Gemini Embeddings (#14690)
Add support for Gemini embeddings in the langchain-google-genai package
7 months ago
Funkeke ea99612caa
community[patch]: fix dashvector endpoint params error (#14484)
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Co-authored-by: fangkeke <3339698829@qq.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
7 months ago
Bob Lin dce3c74905
community[patch]: Correct type annotation for azure_ad_token_provider Closed: #14402 (#14432)
Description
Fix https://github.com/langchain-ai/langchain/issues/14402, Similar
changes: https://github.com/langchain-ai/langchain/pull/14166

Twitter handle
[lin_bob57617](https://twitter.com/lin_bob57617)
7 months ago
Fran Cirka 8a4162d15e
community[patch]: Fixed issue with importing Row from sqlalchemy (#14488)
- **Description:** Fixed import of Row in cache.py, 
- **Issue:** the issue # #13464
https://creditone.us.to/langchain-ai/langchain/issues/13464,
  - **Dependencies:** None,
  - **Twitter handle:** @frankybridman

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
7 months ago
Bagatur 47451951a1
core[patch]: Fix runnable with message history (#14629)
Fix bug shown in #14458. Namely, that saving inputs to history fails
when the input to base runnable is a list of messages
7 months ago
Bagatur 73382a579f
google-genai[patch]: Release 0.0.2 (#14677) 7 months ago
Nuno Campos a16f4a318f
\Fix tool_calls message merge (#14613)
<!-- Thank you for contributing to LangChain!

Replace this entire comment with:
  - **Description:** a description of the change, 
  - **Issue:** the issue # it fixes (if applicable),
  - **Dependencies:** any dependencies required for this change,
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7 months ago
William FH 405d111da6
[Partner] Add langchain-google-genai package (gemini) (#14621)
Add a new ChatGoogleGenerativeAI class in a `langchain-google-genai`
package.
Still todo: add a deprecation warning in PALM

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru>
Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Bagatur 4574749147
communty[patch]: Release 0.0.3 (#14673) 7 months ago
Erick Friis c5250f12c2
cli[patch]: unicode issue (#14672)
Some operating systems compile template, resulting in unicode decode
errors
7 months ago
William FH 75b8891399
Update Vertex AI to include Gemini (#14670)
h/t to @lkuligin 
-  **Description:** added new models on VertexAI
  - **Twitter handle:** @lkuligin

---------

Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
7 months ago
Erick Friis 858f4cbce4
cli[patch]: rc (#14667) 7 months ago
Tomaz Bratanic ea2616ae23
Fix RRF and lucene escape characters for neo4j vector store (#14646)
* Remove Lucene special characters (fixes
https://github.com/langchain-ai/langchain/issues/14232)
* Fixes RRF normalization for hybrid search
7 months ago
Erick Friis 7e6ca3c2b9
cli[patch]: integration template (#14571) 7 months ago
James Braza b9ef92f2f4
Fixed `DeprecationWarning` for `PromptTemplate.from_file` module-level calls (#14468)
Resolves https://github.com/langchain-ai/langchain/issues/14467
7 months ago
Chengzu Ou df95abb7e7
docs: Add Databricks Vector Search example notebook (#14158)
This PR adds an example notebook for the Databricks Vector Search vector
store. It also adds an introduction to the Databricks Vector Search
product on the Databricks's provider page.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
葛尧 e780433f6b
Fix token_usage None issue in ChatOpenAI with local Chatglm2-6B (#14493)
When using local Chatglm2-6B by changing OPENAI_BASE_URL to localhost,
the token_usage in ChatOpenAI becomes None. This leads to an
AttributeError when trying to access token_usage.items().

This commit adds a check to ensure token_usage is not None before
accessing its items. This change prevents the AttributeError and allows
ChatOpenAI to work seamlessly with a local Chatglm2-6B model, aligning
with the way it operates with the OpenAI API.

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Replace this entire comment with:
  - **Description:** a description of the change, 
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If you're adding a new integration, please include:
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2. an example notebook showing its use. It lives in `docs/extras`
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@baskaryan, @eyurtsev, @hwchase17.
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Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
7 months ago
Massimiliano Pronesti 6080c98108
fix(embeddings): huggingface hub embeddings and TEI (#14489)
**Description:** This PR fixes `HuggingFaceHubEmbeddings` by making the
API token optional (as in the client beneath). Most models don't require
one. I also updated the notebook for TEI (text-embeddings-inference)
accordingly as requested here #14288. In addition, I fixed a mistake in
the POST call parameters.

**Tag maintainers:** @baskaryan
7 months ago
Thomas B b4e3e47c92
feat: Yaml output parser (#14496)
## Description
New YAML output parser as a drop-in replacement for the Pydantic output
parser. Yaml is a much more token-efficient format than JSON, proving to
be **~35% faster and using the same percentage fewer completion
tokens**.

☑️ Formatted
☑️ Linted
☑️ Tested (analogous to the existing`test_pydantic_parser.py`)

The YAML parser excels in situations where a list of objects is
required, where the root object needs no key:
```python
class Products(BaseModel):
   __root__: list[Product]
```

I ran the prompt `Generate 10 healthy, organic products` 10 times on one
chain using the `PydanticOutputParser`, the other one using
the`YamlOutputParser` with `Products` (see below) being the targeted
model to be created.

LLMs used were Fireworks' `lama-v2-34b-code-instruct` and OpenAI
`gpt-3.5-turbo`. All runs succeeded without validation errors.

```python
class Nutrition(BaseModel):
    sugar: int = Field(description="Sugar in grams")
    fat: float = Field(description="% of daily fat intake")

class Product(BaseModel):
    name: str = Field(description="Product name")
    stats: Nutrition

class Products(BaseModel):
    """A list of products"""

    products: list[Product] # Used `__root__` for the yaml chain
```
Stats after 10 runs reach were as follows:
### JSON
ø time: 7.75s
ø tokens: 380.8

### YAML
ø time: 5.12s
ø tokens: 242.2


Looking forward to feedback, tips and contributions!
7 months ago
Bob Lin a019183a01
create mypy cache dir if it doesn't exist (#14579)
### Description

When running `make lint` multiple times, i can see the error `mkdir:
.mypy_cache: File exists`. Use `mkdir -p` to solve this problem.
<img width="1512" alt="Screenshot 2023-12-12 at 11 22 01 AM"
src="https://github.com/langchain-ai/langchain/assets/10000925/1429383d-3283-4e22-8882-5693bc50b502">
7 months ago
dandanwei e5bd88383f
fix a bug in RedisNum filter againt value 0 (#14587)
- **Description:** There is a bug in RedisNum filter that filter towards
value 0 will be parsed as "*". This is a fix to it.
  - **Issue:** NA
  - **Dependencies:** NA
  - **Tag maintainer:** NA
  - **Twitter handle:** NA
7 months ago
Lance Martin 282362382c
Minor update to ensemble retriever to handle a mix of Documents or str (#14552) 7 months ago
Bagatur ca7da8f7ef
docs: fix links in readme (#14624) 7 months ago
Bagatur 2a10cabf66
docs: core and community readme (#14623) 7 months ago
Bagatur b72b19b593
experimental[patch]: Release 0.0.47 (#14617) 7 months ago
Bagatur 57337b4862
langchain[patch]: Release 0.0.350 (#14612) 7 months ago
Bagatur d388863a3b
community[patch]: Release 0.0.2 (#14610) 7 months ago
Bagatur 5d1deddbfb
core[minor]: Release 0.1.0 (#14607) 7 months ago
Harrison Chase ad8d8f71aa
allow other namespaces (#14606) 7 months ago
Eugene Yurtsev 76905aa043
Update RunnableWithMessageHistory (#14351)
This PR updates RunnableWithMessage history to support user specific
configuration for the factory.

It extends support to passing multiple named arguments into the factory
if the factory takes more than a single argument.
7 months ago
Erick Friis 0a9d933bb2
infra: import checking bugfix (#14569) 7 months ago
Bagatur 8bdaf55e92
experimental[patch]: Release 0.0.46 (#14572) 7 months ago
Bagatur 14bfc5f9f4
langchain[patch]: Release 0.0.349 (#14570) 7 months ago
Erick Friis 482e2b94fa
infra: import CI speed (#14566)
Was taking 10 mins. Now a few seconds.
7 months ago
Bagatur 6a828e60ee
community[patch]: Release 0.0.1 (#14565) 7 months ago
Erick Friis 5418d8bfd6
infra: import CI fix (#14562)
TIL `**` globstar doesn't work in make

Makefile changes fix that.

`__getattr__` changes allow import of all files, but raise error when
accessing anything from the module.

file deletions were corresponding libs change from #14559
7 months ago
Bagatur 9cb128e6e2
core[patch]: Release 0.0.13 (#14558) 7 months ago
Bagatur a844b495c4
community[patch]: Fix agenttoolkits imports (#14559) 7 months ago
Nuno Campos 3b5b0f16c6
Move runnable context to beta (#14507)
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7 months ago
Bagatur ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes
7 months ago
Eugene Yurtsev c0f4b95aa9
RunnableWithMessageHistory: Fix input schema (#14516)
Input schema should not have history key
7 months ago
Harrison Chase f5befe3b89
manual mapping (#14422) 7 months ago
Erick Friis c24f277b7c
langchain[patch], docs[patch]: use byte store in multivectorretriever (#14474) 7 months ago
Anish Nag 6da0cfea0e
experimental[patch]: SmartLLMChain Output Key Customization (#14466)
**Description**
The `SmartLLMChain` was was fixed to output key "resolution".
Unfortunately, this prevents the ability to use multiple `SmartLLMChain`
in a `SequentialChain` because of colliding output keys. This change
simply gives the option the customize the output key to allow for
sequential chaining. The default behavior is the same as the current
behavior.

Now, it's possible to do the following:
```
from langchain.chat_models import ChatOpenAI
from langchain.prompts import PromptTemplate
from langchain_experimental.smart_llm import SmartLLMChain
from langchain.chains import SequentialChain

joke_prompt = PromptTemplate(
    input_variables=["content"],
    template="Tell me a joke about {content}.",
)
review_prompt = PromptTemplate(
    input_variables=["scale", "joke"],
    template="Rate the following joke from 1 to {scale}: {joke}"
)

llm = ChatOpenAI(temperature=0.9, model_name="gpt-4-32k")
joke_chain = SmartLLMChain(llm=llm, prompt=joke_prompt, output_key="joke")
review_chain = SmartLLMChain(llm=llm, prompt=review_prompt, output_key="review")

chain = SequentialChain(
    chains=[joke_chain, review_chain],
    input_variables=["content", "scale"],
    output_variables=["review"],
    verbose=True
)
response = chain.run({"content": "chickens", "scale": "10"})
print(response)
```

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Erick Friis b3f226e8f8
core[patch], langchain[patch], experimental[patch]: import CI (#14414) 7 months ago
Eugene Yurtsev 37bee92b8a
Use deepcopy in RunLogPatch (#14244)
This PR adds deepcopy usage in RunLogPatch.

I included a unit-test that shows an issue that was caused in LangServe
in the RemoteClient.

```python
import jsonpatch

s1 = {}
s2 = {'value': []}
s3 = {'value': ['a']}

ops0 = list(jsonpatch.JsonPatch.from_diff(None, s1))
ops1 = list(jsonpatch.JsonPatch.from_diff(s1, s2))
ops2 = list(jsonpatch.JsonPatch.from_diff(s2, s3))
ops = ops0 + ops1 + ops2

jsonpatch.apply_patch(None, ops)
{'value': ['a']}

jsonpatch.apply_patch(None, ops)
{'value': ['a', 'a']}

jsonpatch.apply_patch(None, ops)
{'value': ['a', 'a', 'a']}
```
7 months ago
Erick Friis 1d7e5c51aa
langchain[patch]: xfail unstable vertex test (#14462) 7 months ago
Harrison Chase 02ee0073cf
revoke serialization (#14456) 7 months ago
Erick Friis 1d725327eb
langchain[patch]: Fix scheduled testing (#14428)
- integration tests in pyproject
- integration test fixes
7 months ago
Harrison Chase 7be3eb6fbd
fix imports from core (#14430) 7 months ago
Bagatur 52052cc7b9
experimental[patch]: Release 0.0.45 (#14418) 7 months ago
Bagatur e4d6e55c5e
langchain[patch]: Release 0.0.348 (#14417) 7 months ago
Bagatur eb209e7ee3
core[patch]: Release 0.0.12 (#14415) 7 months ago
Bagatur b2280fd874
core[patch], langchain[patch]: fix required deps (#14373) 7 months ago
Kacper Łukawski 76f30f5297
langchain[patch]: Rollback multiple keys in Qdrant (#14390)
This reverts commit 38813d7090. This is a
temporary fix, as I don't see a clear way on how to use multiple keys
with `Qdrant.from_texts`.

Context: #14378
7 months ago
Erick Friis 54040b00a4
langchain[patch]: fix ChatVertexAI streaming (#14369) 7 months ago