Commit Graph

1404 Commits (e669f9d731af3d673885dcddc46be4cbef5959b9)

Author SHA1 Message Date
Eugene Yurtsev 5e2d5047af
add LLMBashChain to experimental (#11305)
Add LLMBashChain to experimental
10 months ago
Bagatur 38d5b63a10
Bedrock scheduled tests (#11194) 10 months ago
Eugene Yurtsev f9b565fa8c
Bump min version of numexpr (#11302)
Bump min version
10 months ago
William FH 64febf7751
Make numexpr optional (#11049)
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
10 months ago
Eugene Yurtsev 20b7bd497c
Add pending deprecation warning (#11133)
This PR uses 2 dedicated LangChain warnings types for deprecations
(mirroring python's built in deprecation and pending deprecation
warnings).

These deprecation types are unslienced during initialization in
langchain achieving the same default behavior that we have with our
current warnings approach. However, because these warnings have a
dedicated type, users will be able to silence them selectively (I think
this is strictly better than our current handling of warnings).

The PR adds a deprecation warning to llm symbolic math.

---------

Co-authored-by: Predrag Gruevski <2348618+obi1kenobi@users.noreply.github.com>
10 months ago
Nuno Campos 0638f7b83a
Create new RunnableSerializable base class in preparation for configurable runnables (#11279)
- Also move RunnableBranch to its own file

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10 months ago
Bagatur 8eec43ed91
bump 306 (#11289) 10 months ago
Nuno Campos c6a720f256 Lint 10 months ago
Nuno Campos 1d46ddd16d Lint 10 months ago
Nuno Campos 17708fc156 Lint 10 months ago
Nuno Campos a3b82d1831 Move RunnableWithFallbacks to its own file 10 months ago
Nuno Campos 01dbfc2bc7 Lint 10 months ago
Nuno Campos a6afd45c63 Lint 10 months ago
Nuno Campos f7dd10b820 Lint 10 months ago
Nuno Campos 040bb2983d Lint 10 months ago
Nuno Campos 52e5a8b43e Create new RunnableSerializable class in preparation for configurable runnables
- Also move RunnableBranch to its own file
10 months ago
Yeonji-Lim 61ab1b1266
Fix typo in docstring (#11256)
Description : Remove meaningless 's' in docstring
10 months ago
Kazuki Maeda a363ab5292
rename repo namespace to langchain-ai (#11259)
### Description
renamed several repository links from `hwchase17` to `langchain-ai`.

### Why
I discovered that the README file in the devcontainer contains an old
repository name, so I took the opportunity to rename the old repository
name in all files within the repository, excluding those that do not
require changes.

### Dependencies
none

### Tag maintainer
@baskaryan

### Twitter handle
[kzk_maeda](https://twitter.com/kzk_maeda)
10 months ago
Dayuan Jiang 17cdeb72ef
minor fix: remove redundant code from OpenAIFunctionsAgent (#11245)
minor fix: remove redundant code from OpenAIFunctionsAgent (#11245)
10 months ago
Michael Goin 33eb5f8300
Update DeepSparse LLM (#11236)
**Description:** Adds streaming and many more sampling parameters to the
DeepSparse interface

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
10 months ago
Eugene Yurtsev f91ce4eddf
Bump deps in langserve (#11234)
Bump deps in langserve lockfile
10 months ago
Haozhe 4c97a10bd0
fix code injection vuln (#11233)
- **Description:** Fix a code injection vuln by adding one more keyword
into the filtering list
  - **Issue:** N/A
  - **Dependencies:** N/A
  - **Tag maintainer:** 
  - **Twitter handle:**

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
10 months ago
Eugene Yurtsev aebdb1ad01
Ignore aadd (#11235) 10 months ago
Eugene Yurtsev 8b4cb4eb60
Add type to message chunks (#11232) 10 months ago
Nuno Campos fb66b392c6
Implement RunnablePassthrough.assign(...) (#11222)
Passes through dict input and assigns additional keys

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10 months ago
Nuno Campos 1ddf9f74b2
Add a streaming json parser (#11193)
<img width="1728" alt="Screenshot 2023-09-28 at 20 15 01"
src="https://github.com/langchain-ai/langchain/assets/56902/ed0644c3-6db7-41b9-9543-e34fce46d3e5">


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10 months ago
Nuno Campos ee56c616ff Remove flawed test
- It is not possible to access properties on classes, only on instances, therefore this test is not something we can implement
10 months ago
Nuno Campos f3f3f71811 Lint 10 months ago
Nuno Campos f6b0b065d3
Update json.py
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
10 months ago
Nuno Campos cbe18057b0
Update json.py
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
10 months ago
Nuno Campos aa8b4120a8 Keep exceptions when not in streaming mode 10 months ago
Nuno Campos 1f30e25681 Lint 10 months ago
Nuno Campos c9d0f2b984 Combine with existing json output parsers 10 months ago
Eugene Yurtsev b4354b7694
Make tests stricter, remove old code, fix up pydantic import when using v2 (#11231)
Make tests stricter, remove old code, fix up pydantic import when using v2 (#11231)
10 months ago
Eugene Yurtsev 572968fee3
Using langchain input types (#11204)
Using langchain input type
10 months ago
Bagatur 77c7c9ab97
bump 305 (#11224) 10 months ago
Nuno Campos 4b8442896b Make test deterministic 10 months ago
Attila Tőkés ba9371854f
OpenAI gpt-3.5-turbo-instruct cost information (#11218)
Added pricing info for `gpt-3.5-turbo-instruct` for OpenAI and Azure
OpenAI.

Co-authored-by: Attila Tőkés <atokes@rws.com>
10 months ago
Eugene Yurtsev de69ea26e8
Suppress warnings in interactive env that stem from tab completion (#11190)
Suppress warnings in interactive environments that can arise from users 
relying on tab completion (without even using deprecated modules).

jupyter seems to filter warnings by default (at least for me), but
ipython surfaces them all
10 months ago
Jon Saginaw 715ffda28b
mongodb doc loader init (#10645)
- **Description:** A Document Loader for MongoDB
  - **Issue:** n/a
  - **Dependencies:** Motor, the async driver for MongoDB
  - **Tag maintainer:** n/a
  - **Twitter handle:** pigpenblue

Note that an initial mongodb document loader was created 4 months ago,
but the [PR ](https://github.com/langchain-ai/langchain/pull/4285)was
never pulled in. @leo-gan had commented on that PR, but given it is
extremely far behind the master branch and a ton has changed in
Langchain since then (including repo name and structure), I rewrote the
branch and issued a new PR with the expectation that the old one can be
closed.

Please reference that old PR for comments/context, but it can be closed
in favor of this one. Thanks!

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
10 months ago
Nuno Campos 3d8aa88e26 Add async tests and comments 10 months ago
Nuno Campos 4ad0f3de2b
Add RunnableGenerator (#11214)
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If you're adding a new integration, please include:
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10 months ago
Guy Korland 748a757306
Clean warnings: replace type with isinstance and fix syntax (#11219)
Clean warnings: replace type with `isinstance` and fix on notebook
syntax syntax
10 months ago
Nuno Campos 091d8845d5 Backwards compat 10 months ago
Nuno Campos 4e28a7a513 Implement diff 10 months ago
Nuno Campos 5cbe2b7b6a Implement diff 10 months ago
Nuno Campos 6c0a6b70e0 WIP Add tests§ 10 months ago
Nuno Campos 63f2ef8d1c Implement str one 10 months ago
Nuno Campos f672b39cc9 Add a streaming json parser 10 months ago
Nuno Campos 2387647d30 Lint 10 months ago
Nuno Campos 0318cdd33c Add tests 10 months ago
Nuno Campos b67db8deaa Add RunnableGenerator 10 months ago
Nuno Campos e35ea565d1 Lint 10 months ago
Nuno Campos 7f589ebbc2 Lint 10 months ago
Nuno Campos 8be598f504 Fix invocation 10 months ago
Nuno Campos 6eb6c45c98 Enable creating Tools from any Runnable 10 months ago
Nuno Campos 61b5942adf
Implement better reprs for Runnables (#11175)
```
ChatPromptTemplate(messages=[SystemMessagePromptTemplate(prompt=PromptTemplate(input_variables=[], template='You are a nice assistant.')), HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['question'], template='{question}'))])
| RunnableLambda(lambda x: x)
| {
    chat: FakeListChatModel(responses=["i'm a chatbot"]),
    llm: FakeListLLM(responses=["i'm a textbot"])
  }
```

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Replace this entire comment with:
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@baskaryan, @eyurtsev, @hwchase17.
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10 months ago
Nuno Campos e8e2b812c9 Even more 10 months ago
Nuno Campos fc072100fa skip more 10 months ago
Nuno Campos 7bfee012d5 Skip in py3.8 10 months ago
Nuno Campos b8e3e1118d Skip for py3.8 10 months ago
William FH db05ea2b78
Add from_embeddings for opensearch (#10957) 10 months ago
William FH 73693c18fc
Add support for project metadata in run_on_dataset (#11200) 10 months ago
James Braza b11f21c25f
Updated `LocalAIEmbeddings` docstring to better explain why `openai` (#10946)
Fixes my misgivings in
https://github.com/langchain-ai/langchain/issues/10912
10 months ago
Eugene Yurtsev 2c114fcb5e
Fix web-base loader (#11135)
Fix initialization

https://github.com/langchain-ai/langchain/issues/11095
10 months ago
jreinjr 3bc44b01c0
Typo fix to MathpixPDFLoader - changed processed_file_format default … (#10960)
…from mmd to md. https://github.com/langchain-ai/langchain/issues/7282

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- **Description:** minor fix to a breaking typo - MathPixPDFLoader
processed_file_format is "mmd" by default, doesn't work, changing to
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- **Issue:** 7282
(https://github.com/langchain-ai/langchain/issues/7282),
  - **Dependencies:** none,
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Co-authored-by: jare0530 <7915+jare0530@users.noreply.ghe.oculus-rep.com>
10 months ago
Dr. Fabien Tarrade 66415eed6e
Support new version of tiktoken that are working with langchain (tag "^0.3.2" => "">=0.3.2,<0.6.0" and python "^3.9" =>">=3.9") (#11006)
- **Description:**
be able to use langchain with other version than tiktoken 0.3.3 i.e
0.5.1
  - **Issue:**
cannot installed the conda-forge version since it applied all optional
dependency:
       https://github.com/conda-forge/langchain-feedstock/pull/85  
replace "^0.3.2" by "">=0.3.2,<0.6.0" and "^3.9" by python=">=3.9"
      Tested with python 3.10, langchain=0.0.288 and tiktoken==0.5.0

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Clément Sicard 1b48d6cb8c
`LlamaCppEmbeddings`: adds `verbose` parameter, similar to `llms.LlamaCpp` class (#11038)
## Description

As of now, when instantiating and during inference, `LlamaCppEmbeddings`
outputs (a lot of) verbose when controlled from Langchain binding - it
is a bit annoying when computing the embeddings of long documents, for
instance.

This PR adds `verbose` for `LlamaCppEmbeddings` objects to be able
**not** to print the verbose of the model to `stderr`. It is natively
supported by `llama-cpp-python` and directly passed to the library – the
PR is hence very small.

The value of `verbose` is `True` by default, following the way it is
defined in [`LlamaCpp` (`llamacpp.py`
#L136-L137)](c87e9fb2ce/libs/langchain/langchain/llms/llamacpp.py (L136-L137))

## Issue

_No issue linked_

## Dependencies

_No additional dependency needed_

## To see it in action

```python
from langchain.embeddings import LlamaCppEmbeddings

MODEL_PATH = "<path_to_gguf_file>"

if __name__ == "__main__":
    llm_embeddings = LlamaCppEmbeddings(
        model_path=MODEL_PATH,
        n_gpu_layers=1,
        n_batch=512,
        n_ctx=2048,
        f16_kv=True,
        verbose=False,
    )
```

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Noah Czelusta a00a73ef18
Add last_edited_time and created_time props to NotionDBLoader (#11020)
# Description

Adds logic for NotionDBLoader to correctly populate `last_edited_time`
and `created_time` fields from [page
properties](https://developers.notion.com/reference/page#property-value-object).

There are no relevant tests for this code to be updated.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Eugene Yurtsev e06e84b293
LangServe: Relax requirements (#11198)
Relax requirements
10 months ago
PaperMoose 5d7c6d1bca
Synthetic Data generation (#9472)
---------

Co-authored-by: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Donatas Remeika a4e0cf6300
SearchApi integration (#11023)
Based on the customers' requests for native langchain integration,
SearchApi is ready to invest in AI and LLM space, especially in
open-source development.

- This is our initial PR and later we want to improve it based on
customers' and langchain users' feedback. Most likely changes will
affect how the final results string is being built.
- We are creating similar native integration in Python and JavaScript.
- The next plan is to integrate into Java, Ruby, Go, and others.
- Feel free to assign @SebastjanPrachovskij as a main reviewer for any
SearchApi-related searches. We will be glad to help and support
langchain development.
10 months ago
Bagatur 8cd18a48e4
fix trubrics lint issue (#11202) 10 months ago
Fynn Flügge b738ccd91e
chore: add support for TypeScript code splitting (#11160)
- **Description:** Adds typescript language to `TextSplitter`

---------

Co-authored-by: Jacob Lee <jacoblee93@gmail.com>
10 months ago
Kenneth Choe 17fcbed92c
Support add_embeddings for opensearch (#11050)
- **Description:**
      -  Make running integration test for opensearch easy
- Provide a way to use different text for embedding: refer to #11002 for
more of the use case and design decision.
  - **Issue:** N/A
  - **Dependencies:** None other than the existing ones.
10 months ago
Jeff Kayne c586f6dc1b
Callback integration for Trubrics (#11059)
After contributing to some examples in the
[langsmith-cookbook](https://github.com/langchain-ai/langsmith-cookbook)
with @hinthornw, here is a PR that adds a callback handler to use
LangChain with [Trubrics](https://github.com/trubrics/trubrics-sdk).
10 months ago
Michael Landis a8db594012
fix: short-circuit black and mypy calls when no changes made (#11051)
Both black and mypy expect a list of files or directories as input.
As-is the Makefile computes a list files changed relative to the last
commit; these are passed to black and mypy in the `format_diff` and
`lint_diff` targets. This is done by way of the Makefile variable
`PYTHON_FILES`. This is to save time by skipping running mypy and black
over the whole source tree.

When no changes have been made, this variable is empty, so the call to
black (and mypy) lacks input files. The call exits with error causing
the Makefile target to error out with:

```bash
$ make format_diff
poetry run black
Usage: black [OPTIONS] SRC ...

One of 'SRC' or 'code' is required.
make: *** [format_diff] Error 1
```

This is unexpected and undesirable, as the naive caller (that's me! 😄 )
will think something else is wrong. This commit smooths over this by
short circuiting when `PYTHON_FILES` is empty.
10 months ago
Michael Kim fbcd8e02f2
Change type annotations from LLMChain to Chain in MultiPromptChain (#11082)
- **Description:** The types of 'destination_chains' and 'default_chain'
in 'MultiPromptChain' were changed from 'LLMChain' to 'Chain'. and
removed variables declared overlapping with the parent class
- **Issue:** When a class that inherits only Chain and not LLMChain,
such as 'SequentialChain' or 'RetrievalQA', is entered in
'destination_chains' and 'default_chain', a pydantic validation error is
raised.
-  -  codes
```
retrieval_chain = ConversationalRetrievalChain(
        retriever=doc_retriever,
        combine_docs_chain=combine_docs_chain,
        question_generator=question_gen_chain,
    )
    
    destination_chains = {
        'retrieval': retrieval_chain,
    }
    
    main_chain = MultiPromptChain(
        router_chain=router_chain,
        destination_chains=destination_chains,
        default_chain=default_chain,
        verbose=True,
    )
```

 `make format`, `make lint` and `make test`
10 months ago
Piyush Jain 32d09bcd1e
Expanded version range for networkx, fixed sample notebook (#11094)
## Description
Expanded the upper bound for `networkx` dependency to allow installation
of latest stable version. Tested the included sample notebook with
version 3.1, and all steps ran successfully.
---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Piotr Mardziel b40ecee4b9
FIx eval prompt (#11087)
**Description:** fixes a common typo in some of the eval criteria.
10 months ago
Guy Korland 5564833bd2
Add `add_graph_documents` support for FalkorDBGraph (#11122)
Adding `add_graph_documents` support for FalkorDBGraph and extending the
`Neo4JGraph` api so it can support `cypher.py`
10 months ago
Tomaz Bratanic 7d25a65b10
add from_existing_graph to neo4j vector (#11124)
This PR adds the option to create a Neo4jvector instance from existing
graph, which embeds existing text in the database and creates relevant
indices.
10 months ago
Noah Stapp 2c952de21a
Add support for MongoDB Atlas $vectorSearch vector search (#11139)
Adds support for the `$vectorSearch` operator for
MongoDBAtlasVectorSearch, which was announced at .Local London
(September 26th, 2023). This change maintains breaks compatibility
support for the existing `$search` operator used by the original
integration (https://github.com/langchain-ai/langchain/pull/5338) due to
incompatibilities in the Atlas search implementations.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Hugues b599f91e33
LLMonitor Callback handler: fix bug (#11128)
Here is a small bug fix for the LLMonitor callback handler. I've also
added user identification capabilities.
10 months ago
William FH e9b51513e9
Shared Executor (#11028) 10 months ago
Justin Plock 926e4b6bad
[Feat] Add optional client-side encryption to DynamoDB chat history memory (#11115)
**Description:** Added optional client-side encryption to the Amazon
DynamoDB chat history memory with an AWS KMS Key ID using the [AWS
Database Encryption SDK for
Python](https://docs.aws.amazon.com/database-encryption-sdk/latest/devguide/python.html)
**Issue:** #7886
**Dependencies:**
[dynamodb-encryption-sdk](https://pypi.org/project/dynamodb-encryption-sdk/)
**Tag maintainer:**  @hwchase17 
**Twitter handle:** [@jplock](https://twitter.com/jplock/)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Eugene Yurtsev 4947ac2965
Add langserve version (#11195)
Add langserve version
10 months ago
Joseph McElroy 822fc590d9
[ElasticsearchStore] Improve migration text to ElasticsearchStore (#11158)
We noticed that as we have been moving developers to the new
`ElasticsearchStore` implementation, we want to keep the
ElasticVectorSearch class still available as developers transition
slowly to the new store.

To speed up this process, I updated the blurb giving them a better
recommendation of why they should use ElasticsearchStore.
10 months ago
Naveen Tatikonda 9b0029b9c2
[OpenSearch] Add Self Query Retriever Support to OpenSearch (#11184)
### Description
Add Self Query Retriever Support to OpenSearch

### Maintainers
@rlancemartin, @eyurtsev, @navneet1v

### Twitter Handle
@OpenSearchProj

Signed-off-by: Naveen Tatikonda <navtat@amazon.com>
10 months ago
Arthur Telders 0da484be2c
Add source metadata to OutlookMessageLoader (#11183)
Description: Add "source" metadata to OutlookMessageLoader

This pull request adds the "source" metadata to the OutlookMessageLoader
class in the load method. The "source" metadata is required when
indexing with RecordManager in order to sync the index documents with a
source.

Issue: None

Dependencies: None

Twitter handle: @ATelders

Co-authored-by: Arthur Telders <arthur.telders@roquette.com>
10 months ago
Bagatur 3508e582f1
add anthropic scheduled tests and unit tests (#11188) 10 months ago
Eugene Yurtsev fd96878c4b
Fix anthropic secret key when passed in via init (#11185)
Fixes anthropic secret key when passed via init

https://github.com/langchain-ai/langchain/issues/11182
10 months ago
Bagatur f201d80d40
temporarily skip embedding empty string test (#11187) 10 months ago
Eugene Yurtsev b3cf9c8759
LangServe: Update langchain requirement for publishing (#11186)
Update langchain requirement for publishing
10 months ago
mani2348 89ddc7cbb6
Update Bedrock service name to "bedrock-runtime" and model identifiers (#11161)
- **Description:** Bedrock updated boto service name to
"bedrock-runtime" for the InvokeModel and InvokeModelWithResponseStream
APIs. This update also includes new model identifiers for Titan text,
embedding and Anthropic.

Co-authored-by: Mani Kumar Adari <maniadar@amazon.com>
10 months ago
Eugene Yurtsev de3e25683e
Expose lc_id as a classmethod (#11176)
* Expose LC id as a class method 
* User should not need to know that the last part of the id is the class
name
10 months ago
Nuno Campos 5ca461160b Lint 10 months ago
Nuno Campos 151f27d502 Lint 10 months ago
Eugene Yurtsev 4ba9c16f74 mypy 10 months ago
Eugene Yurtsev 44489e7029
LangServe: Clean up init files (#11174)
Clean up init files
10 months ago
Akio Nishimura 785b9d47b7
Fix stop key of TextGen. (#11109)
The key of stopping strings used in text-generation-webui api is
[`stopping_strings`](https://github.com/oobabooga/text-generation-webui/blob/main/api-examples/api-example.py#L51),
not `stop`.
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10 months ago
Eugene Yurtsev d1d7d0cb27 x 10 months ago
Eugene Yurtsev c86b2b5e42 x 10 months ago
Eugene Yurtsev fe4f3b8fdf x 10 months ago
Eugene Yurtsev a5b15e9d0f x 10 months ago
Nuno Campos 5c1f462bb9 Implement better reprs for Runnables 10 months ago
Nan LI 53a9d6115e
Xata chat memory FIX (#11145)
- **Description:** Changed data type from `text` to `json` in xata for
improved performance. Also corrected the `additionalKwargs` key in the
`messages()` function to `additional_kwargs` to adhere to `BaseMessage`
requirements.
- **Issue:** The Chathisroty.messages() will return {} of
`additional_kwargs`, as the name is wrong for `additionalKwargs` .
  - **Dependencies:**  N/A
  - **Tag maintainer:** N/A
  - **Twitter handle:** N/A

My PR is passing linting and testing before submitting.
10 months ago
William FH 8ae9b71e41
Async support for OpenAIFunctionsAgentOutputParser (#11140) 10 months ago
Bagatur ce08f436db
Expose loads and dumps in load namespace 10 months ago
Nuno Campos cfa2203c62
Add input/output schemas to runnables (#11063)
This adds `input_schema` and `output_schema` properties to all
runnables, which are Pydantic models for the input and output types
respectively. These are inferred from the structure of the Runnable as
much as possible, the only manual typing needed is
- optionally add type hints to lambdas (which get translated to
input/output schemas)
- optionally add type hint to RunnablePassthrough

These schemas can then be used to create JSON Schema descriptions of
input and output types, see the tests

- [x] Ensure no InputType and OutputType in our classes use abstract
base classes (replace with union of subclasses)
- [x] Implement in BaseChain and LLMChain
- [x] Implement in RunnableBranch
- [x] Implement in RunnableBinding, RunnableMap, RunnablePassthrough,
RunnableEach, RunnableRouter
- [x] Implement in LLM, Prompt, Chat Model, Output Parser, Retriever
- [x] Implement in RunnableLambda from function signature
- [x] Implement in Tool

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10 months ago
Eugene Yurtsev b05bb9e136
LangServe (#11046)
Adds LangServe package

* Integrate Runnables with Fast API creating Server and a RemoteRunnable
client
* Support multiple runnables for a given server
* Support sync/async/batch/abatch/stream/astream/astream_log on the
client side (using async implementations on server)
* Adds validation using annotations (relying on pydantic under the hood)
-- this still has some rough edges -- e.g., open api docs do NOT
generate correctly at the moment
* Uses pydantic v1 namespace

Known issues: type translation code doesn't handle a lot of types (e.g.,
TypedDicts)

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
10 months ago
Nuno Campos 77ce9ed6f1
Support using async callback handlers with sync callback manager (#10945)
The current behaviour just calls the handler without awaiting the
coroutine, which results in exceptions/warnings, and obviously doesn't
actually execute whatever the callback handler does

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10 months ago
Bagatur 48a04aed75
bump 304 (#11147) 10 months ago
Jonathan Evans 23065f54c0
Added prompt wrapping for Claude with Bedrock (#11090)
- **Description:** Prompt wrapping requirements have been implemented on
the service side of AWS Bedrock for the Anthropic Claude models to
provide parity between Anthropic's offering and Bedrock's offering. This
overnight change broke most existing implementations of Claude, Bedrock
and Langchain. This PR just steals the the Anthropic LLM implementation
to enforce alias/role wrapping and implements it in the existing
mechanism for building the request body. This has also been tested to
fix the chat_model implementation as well. Happy to answer any further
questions or make changes where necessary to get things patched and up
to PyPi ASAP, TY.
- **Issue:** No issue opened at the moment, though will update when
these roll in.
  - **Dependencies:** None

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
xiaoyu b87cc8b31e
add 3 property types in metadata for notiondb loader (#8509)
### Description: 
NotionDB supports a number of common property types. I have found three
common types that are not included in notiondb loader. When programs
loaded them with notiondb, which will cause some metadata information
not to be passed to langchain. Therefore, I added three common types:
- date
- created_time
- last_edit_time.

### Issue: 
no
### Dependencies: 
No dependencies added :)
### Tag maintainer: 
@rlancemartin, @eyurtsev
### Twitter handle: 
@BJTUTC
10 months ago
Harrison Chase 258d67b0ac
Revert "improve the performance of base.py" (#11143)
Reverts langchain-ai/langchain#8610

this is actually an oversight - this merges all dfs into one df. we DO
NOT want to do this - the idea is we work and manipulate multiple dfs
10 months ago
Mohamad Zamini 9306394078
improve the performance of base.py (#8610)
This removes the use of the intermediate df list and directly
concatenates the dataframes if path is a list of strings. The pd.concat
function combines the dataframes efficiently, making it faster and more
memory-efficient compared to appending dataframes to a list.

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Maintainer responsibilities:
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  - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev
  - Models / Prompts: @hwchase17, @baskaryan
  - Memory: @hwchase17
  - Agents / Tools / Toolkits: @hinthornw
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---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
10 months ago
Mincoolee 05b75f3f13
feat: add support for arxiv identifier in ArxivAPIWrapper() (#9318)
- Description: this PR adds the support for arxiv identifier of the
ArxivAPIWrapper. I modified the `run()` and `load()` functions in
`arxiv.py`, using regex to recognize if the query is in the form of
arxiv identifier (see
[https://info.arxiv.org/help/find/index.html](https://info.arxiv.org/help/find/index.html)).
If so, it will directly search the paper corresponding to the arxiv
identifier. I also modified and added tests in `test_arxiv.py`.
  - Issue: #9047 
  - Dependencies: N/A
  - Tag maintainer: N/A

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
10 months ago
William FH d3c2ca5656
Enhanced pairwise error (#11131) 10 months ago
Taqi Jaffri b7e9db5e73
Stop sequences in fireworks, plus notebook updates (#11136)
The new Fireworks and FireworksChat implementations are awesome! Added
in this PR https://github.com/langchain-ai/langchain/pull/11117 thank
you @ZixinYang

However, I think stop words were not plumbed correctly. I've made some
simple changes to do that, and also updated the notebook to be a bit
clearer with what's needed to use both new models.


---------

Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>
10 months ago
William FH 33da8bd711
Add Exact match and Regex Match Evaluators (#11132) 10 months ago
Harrison Chase e355606b11
add more import checks (#11033) 10 months ago
Dan Bolser efb7c459a2
Update base.py (#10843)
Fixing a typo in the example code in the docstring...

You have to start somewhere though right?

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
10 months ago
tanujtiwari-at a79f595543
Support extra tools argument for pandas agent toolkit (#11040)
**Description** 

We support adding new tools in some toolkits already like the [SQLAgent
toolkit](https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/agents/agent_toolkits/sql/base.py#L27).

Related
[SO](https://stackoverflow.com/questions/76583163/are-langchain-toolkits-able-to-be-modified-can-we-add-tools-to-a-pandas-datafra)
thread
This replicates the same functionality here, so users can add custom
bespoke tools.
10 months ago
Bagatur 410ac8129d
bump 303 (#11120) 10 months ago
Bagatur 8e4dbae428
Add fireworks chat model (#11117) 10 months ago
Bagatur 657581dbdf Fix ChatFireworks typing 10 months ago
Bagatur 12aad659dd add ChatFireworks to chat_models 10 months ago
Bagatur 872ebdaf90 remove FireworksChat from llms 10 months ago
Bagatur 9451240941 Fix fireworks chat linting issues 10 months ago
Tomáš Dvořák 865a21938c
speed up enforce_stop_tokens helper function (#10984)
**Description:**

As long as `enforce_stop_tokens` returns a first occurrence, we can
speed up the execution by setting the optional `maxsplit` parameter to
1.

Tag maintainer:
@agola11
@hwchase17

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---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Austin Walker bb41252dab
fix: bump min_unstructured_version for UnstructuredAPIFileLoader (#11025)
**Description:** New metadata fields were added to
`unstructured==0.10.15`, and our hosted api has been updated to reflect
this. When users call `partition_via_api` with an older version of the
library, they'll hit a parsing error related to the new fields.
10 months ago
William FH 75b3893daf
Fix runnable branch callbacks (#11091)
We aren't calling on_chain_end here unless we use the default option
10 months ago
Bagatur 6c5251feb0 poetry 10 months ago
Bagatur 5310184f96 poetry 10 months ago
Cynthia Yang 6dd44ff1c0
Refactor Fireworks and add ChatFireworks (#3) (#10597)
Description 
* Refactor Fireworks within Langchain LLMs.
* Remove FireworksChat within Langchain LLMs.
* Add ChatFireworks (which uses chat completion api) to Langchain chat
models.
* Users have to install `fireworks-ai` and register an api key to use
the api.

Issue - Not applicable
Dependencies - None
Tag maintainer - @rlancemartin @baskaryan
10 months ago
Bagatur 5514ebe859
Don't type chains in output_parsers (#11092)
Can't use TYPE_CHECKING style imports for pydantic params because it will try to instantiate the typed object by default.
10 months ago
CG80499 64385c4eae
Make pairwise comparison chain more like LLM as a judge (#11013)
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---------

Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
10 months ago
Joseph McElroy 175ef0a55d
[ElasticsearchStore] Enable custom Bulk Args (#11065)
This enables bulk args like `chunk_size` to be passed down from the
ingest methods (from_text, from_documents) to be passed down to the bulk
API.

This helps alleviate issues where bulk importing a large amount of
documents into Elasticsearch was resulting in a timeout.

Contribution Shoutout
- @elastic

- [x] Updated Integration tests

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Eugene Yurtsev d19fd0cfae
LogEntry/LogStream use str instead of uuid for id (#11080)
Cast the UUID to a string
10 months ago
Bagatur d85339b9f2
extract sublinks exclude by abs path (#11079) 10 months ago
Bagatur 7ee8b2d1bf
exclude dirs in async recursive loading (#11077) 10 months ago
Bagatur 12fb393a43
bump 302 (#11070) 10 months ago
Bagatur 097ecef06b
refactor web base loader (#11057) 10 months ago
Bagatur 487611521d
fix root import (#11072) 10 months ago
Bagatur a2f7246f0e
skip excluded sublinks before recursion (#11036) 10 months ago
William FH 4aec587979
Update LangSmith Walkthrough (#11043) 10 months ago
Harrison Chase bea78b3271
make warnings more modular (#11047) 10 months ago
Harrison Chase c87e9fb2ce
conditional imports (#11017) 10 months ago
Tomaz Bratanic 0625ab7a9e
Filtering graph schema for Cypher generation (#10577)
Sometimes you don't want the LLM to be aware of the whole graph schema,
and want it to ignore parts of the graph when it is constructing Cypher
statements.
10 months ago
Palau 89ef440c14
Kay retriever (#10657)
- **Description**: Adding retrievers for [kay.ai](https://kay.ai) and
SEC filings powered by Kay and Cybersyn. Kay provides context as a
service: it's an API built for RAG.
- **Issue**: N/A
- **Dependencies**: Just added a dep to the
[kay](https://pypi.org/project/kay/) package
- **Tag maintainer**: @baskaryan @hwchase17 Discussed in slack
- **Twtter handle:** [@vishalrohra_](https://twitter.com/vishalrohra_)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Harrison Chase 5f13668fa0
Harrison/move vectorstore base (#11030) 10 months ago
Eugene Yurtsev af5390d416
Add a batch size for cleanup (#10948)
Add pagination to indexing cleanup to deal with large numbers of
documents that need to be deleted.
10 months ago
Eugene Yurtsev 09486ed188
Update Serializable to use classmethods (#10956) 10 months ago
Taqi Jaffri b7290f01d8
Batching for hf_pipeline (#10795)
The huggingface pipeline in langchain (used for locally hosted models)
does not support batching. If you send in a batch of prompts, it just
processes them serially using the base implementation of _generate:
https://github.com/docugami/langchain/blob/master/libs/langchain/langchain/llms/base.py#L1004C2-L1004C29

This PR adds support for batching in this pipeline, so that GPUs can be
fully saturated. I updated the accompanying notebook to show GPU batch
inference.

---------

Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>
10 months ago
Bagatur aa6e6db8c7
bump 301 (#11018) 10 months ago
Nuno Campos 956ee981c0
Fix issue where requests wrapper passes auth kwarg twice (#11010)
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Closes #8842
10 months ago
Scotty 88a02076af
fix ChatMessageChunk concat error (#10174)
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- Description: fix `ChatMessageChunk` concat error 
- Issue: #10173 
- Dependencies: None
- Tag maintainer: @baskaryan, @eyurtsev, @rlancemartin
- Twitter handle: None

---------

Co-authored-by: wangshuai.scotty <wangshuai.scotty@bytedance.com>
Co-authored-by: Nuno Campos <nuno@boringbits.io>
10 months ago
Naveen Tatikonda b0f21e2b50
[OpenSearch] Pass ids using from_texts and indexname in add_texts and search (#10969)
### Description
This PR makes the following changes to OpenSearch:
1. Pass optional ids with `from_texts`
2. Pass an optional index name with `add_texts` and `search` instead of
using the same index name that was used during `from_texts`

### Issue
https://github.com/langchain-ai/langchain/issues/10967

### Maintainers
@rlancemartin, @eyurtsev, @navneet1v

Signed-off-by: Naveen Tatikonda <navtat@amazon.com>
10 months ago
deanchanter f945426874
Resolve GHI 10674 (#10977) 10 months ago
Anar ff732e10f8
LLMRails Embedding (#10959)
LLMRails  Embedding Integration
This PR provides integration with LLMRails. Implemented here are:

langchain/embeddings/llm_rails.py
docs/extras/integrations/text_embedding/llm_rails.ipynb


Hi @hwchase17 after adding our vectorstore integration to langchain with
confirmation of you and @baskaryan, now we want to add our embedding
integration

---------

Co-authored-by: Anar Aliyev <aaliyev@mgmt.cloudnet.services>
Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Michael Feil 94e31647bd
Support for Gradient.ai embedding (#10968)
Adds support for gradient.ai's embedding model.

This will remain a Draft, as the code will likely be refactored with the
`pip install gradientai` python sdk.
10 months ago
C.J. Jameson 05d5fcfdf8
fix make-coverage local invocation #10941 (#10974)
Fix the invocation of `make coverage` in `libs/langchain`

Fixes #10941
10 months ago
Bagatur 040d436b3f
Add vertex scheduled test (#10958) 10 months ago
Piyush Jain 8602a32b7e
Fixes error with providers that don't have model_id (#10966)
## Description
Fixes error with using the chain for providers that don't have
`model_id` field.


![image](https://github.com/langchain-ai/langchain/assets/289369/a86074cf-6c99-4390-a135-b3af7a4f0827)
10 months ago
Nuno Campos 7b13292e35
Remove python eval from vector sql db chain (#10937)
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 -->
10 months ago
Richard Wang b809c243af
Fix bug in `index` api (#10614)
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 -->

- **Description:** a fix for `index`.
- **Issue:** Not applicable.
- **Dependencies:** None
- **Tag maintainer:** 
- **Twitter handle:** richarddwang

# Problem
Replication code
```python
from pprint import pprint
from langchain.embeddings import OpenAIEmbeddings
from langchain.indexes import SQLRecordManager, index
from langchain.schema import Document
from langchain.vectorstores import Qdrant
from langchain_setup.qdrant import pprint_qdrant_documents, create_inmemory_empty_qdrant

# Documents
metadata1 = {"source": "fullhell.alchemist"}
doc1_1 = Document(page_content="1-1 I have a dog~", metadata=metadata1)
doc1_2 = Document(page_content="1-2 I have a daugter~", metadata=metadata1)
doc1_3 = Document(page_content="1-3 Ahh! O..Oniichan", metadata=metadata1)
doc2 = Document(page_content="2 Lancer died again.", metadata={"source": "fate.docx"})

# Create empty vectorstore
collection_name = "secret_of_D_disk"
vectorstore: Qdrant = create_inmemory_empty_qdrant()

# Create record Manager
import tempfile
from pathlib import Path

record_manager = SQLRecordManager(
    namespace="qdrant/{collection_name}",
    db_url=f"sqlite:///{Path(tempfile.gettempdir())/collection_name}.sql",
)
record_manager.create_schema()  # 必須

sync_result = index(
    [doc1_1, doc1_2, doc1_2, doc2],
    record_manager,
    vectorstore,
    cleanup="full",
    source_id_key="source",
)
print(sync_result, end="\n\n")
pprint_qdrant_documents(vectorstore)
```
<details>
<summary>Code of helper functions `pprint_qdrant_documents` and
`create_inmemory_empty_qdrant`</summary>

```python
def create_inmemory_empty_qdrant(**from_texts_kwargs):
    # Qdrant requires vector size, which can be only know after applying embedder
    vectorstore = Qdrant.from_texts(["dummy"], location=":memory:", embedding=OpenAIEmbeddings(), **from_texts_kwargs)
    dummy_document_id = vectorstore.client.scroll(vectorstore.collection_name)[0][0].id
    vectorstore.delete([dummy_document_id])
    return vectorstore

def pprint_qdrant_documents(vectorstore, limit: int = 100, **scroll_kwargs):
    document_ids, documents = [], []
    for record in vectorstore.client.scroll(
        vectorstore.collection_name, limit=100, **scroll_kwargs
    )[0]:
        document_ids.append(record.id)
        documents.append(
            Document(
                page_content=record.payload["page_content"],
                metadata=record.payload["metadata"] or {},
            )
        )
    pprint_documents(documents, document_ids=document_ids)

def pprint_document(document: Document = None, document_id=None, return_string=False):
    displayed_text = ""
    if document_id:
        displayed_text += f"Document {document_id}:\n\n"
    displayed_text += f"{document.page_content}\n\n"
    metadata_text = pformat(document.metadata, indent=1)
    if "\n" in metadata_text:
        displayed_text += f"Metadata:\n{metadata_text}"
    else:
        displayed_text += f"Metadata:{metadata_text}"

    if return_string:
        return displayed_text
    else:
        print(displayed_text)


def pprint_documents(documents, document_ids=None):
    if not document_ids:
        document_ids = [i + 1 for i in range(len(documents))]

    displayed_texts = []
    for document_id, document in zip(document_ids, documents):
        displayed_text = pprint_document(
            document_id=document_id, document=document, return_string=True
        )
        displayed_texts.append(displayed_text)
    print(f"\n{'-' * 100}\n".join(displayed_texts))
```
</details>
You will get

```
{'num_added': 3, 'num_updated': 0, 'num_skipped': 0, 'num_deleted': 0}

Document 1b19816e-b802-53c0-ad60-5ff9d9b9b911:

1-2 I have a daugter~

Metadata:{'source': 'fullhell.alchemist'}
----------------------------------------------------------------------------------------------------
Document 3362f9bc-991a-5dd5-b465-c564786ce19c:

1-1 I have a dog~

Metadata:{'source': 'fullhell.alchemist'}
----------------------------------------------------------------------------------------------------
Document a4d50169-2fda-5339-a196-249b5f54a0de:

1-2 I have a daugter~

Metadata:{'source': 'fullhell.alchemist'}
```
This is not correct. We should be able to expect that the vectorsotre
now includes doc1_1, doc1_2, and doc2, but not doc1_1, doc1_2, and
doc1_2.


# Reason
In `index`, the original code is 
```python
uids = []
docs_to_index = []
for doc, hashed_doc, doc_exists in zip(doc_batch, hashed_docs, exists_batch):
    if doc_exists:
        # Must be updated to refresh timestamp.
        record_manager.update([hashed_doc.uid], time_at_least=index_start_dt)
        num_skipped += 1
        continue
    uids.append(hashed_doc.uid)
    docs_to_index.append(doc)
```
In the aforementioned example, `len(doc_batch) == 4`, but
`len(hashed_docs) == len(exists_batch) == 3`. This is because the
deduplication of input documents [doc1_1, doc1_2, doc1_2, doc2] is
[doc1_1, doc1_2, doc2]. So `index` insert doc1_1, doc1_2, doc1_2 with
the uid of doc1_1, doc1_2, doc2.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
10 months ago
Joshua Sundance Bailey d67b120a41
Make anthropic_api_key a secret str (#10724)
This PR makes `ChatAnthropic.anthropic_api_key` a `pydantic.SecretStr`
to avoid inadvertently exposing API keys when the `ChatAnthropic` object
is represented as a str.
10 months ago
Bagatur 1b65779905
fix integration tests (#10952) 10 months ago
Harrison Chase 9062e36722
Harrison/agents structured (#10911) 10 months ago
C.J. Jameson b4d2663beb
CONTRIBUTING.md Quick Start: focus on langchain core; clarify docs and experimental are separate (#10906)
follow up to https://github.com/langchain-ai/langchain/pull/7959 ,
explaining better to focus just on langchain core

no dependencies

twitter @cjcjameson
10 months ago
Michael Landis f30b4697d4
fix: broken link in libs/langchain README (#10920)
**Description**
Fixes broken link to `CONTRIBUTING.md` in `libs/langchain/README.md`.

Because`libs/langchain/README.md` was copied from the top level README,
and because the README contains a link to `.github/CONTRIBUTING.md`, the
copied README's link relative path must be updated. This commit fixes
that link.
10 months ago
Bagatur 3cb460d5d8
bump 300 (#10940) 10 months ago
Nuno Campos 3d5e92e3ef
Accept run name arg for non-chain runs (#10935) 10 months ago
Nuno Campos aac2d4dcef
In MergerRetriever async call all retrievers in parallel (#10938) 10 months ago
German Martin 66d5a7e7cf
Add async support to multi-query retriever. (#10873)
Added async support to the MultiQueryRetriever class.

---------

Co-authored-by: Nuno Campos <nuno@boringbits.io>
10 months ago
Leonid Kuligin 9d4b710a48
small fixes to Vertex (#10934)
Fixed tests, updated the required version of the SDK and a few minor
changes after the recent improvement
(https://github.com/langchain-ai/langchain/pull/10910)
10 months ago
wo0d 4e58b78102
Fix chat_history message order (#10869)
Not all databases uses id as default order, so add it explicitly

sqlite uses rawid as default order in select statement:
[https://www.sqlite.org/lang_createtable.html#rowid](https://www.sqlite.org/lang_createtable.html#rowid),
but some other databases like postgresql not behaves like this. since
this class supports multiple db engine. we should have an order.
10 months ago
Roman Shaptala 3d40de75c5
Fix default refine prompt template bug (#10928)
**Description:**
  
Default refine template does not actually use the refine template
defined above, it uses a string with the variable name.
 @baskaryan, @eyurtsev, @hwchase17
10 months ago
Bagatur cab55e9bc1
add vertex prod features (#10910)
- chat vertex async
- vertex stream
- vertex full generation info
- vertex use server-side stopping
- model garden async
- update docs for all the above

in follow up will add
[] chat vertex full generation info
[] chat vertex retries
[] scheduled tests
10 months ago
Bagatur dccc20b402
add model feat table (#10921) 10 months ago
William FH ee8653f62c
Wfh/allow nonparallel (#10914) 10 months ago
Leonid Kuligin 95e1d1fae6
fix in the docstring (#10902)
Description: A fix in the documentation on how to use
`GoogleSearchAPIWrapper`.
10 months ago
Bagatur af41bc84e6
bump 299 (#10904) 10 months ago
Bagatur 9a858a9107
Bagatur/arxiv kwargs (#10903)
support all arXiv api wrapper kwargs in loader
10 months ago
niklas e5f420d2bc
Fix typo in URL document loader example (#10585)
- **Description:** Fix typo in URL document loader example
  - **Issue:** N/A
  - **Dependencies:** N/A
  - **Tag maintainer:** not urgent
10 months ago
Nuno Campos ea26c12b23
Fix Runnable.transform() for false-y inputs (#10893)
---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Nuno Campos fcb5aba9f0
Add `Runnable.astream_log()` (#10374)
---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Harrison Chase a1ade48e8f
update agent docs (#10894) 10 months ago
Bagatur d37ce48e60
sep base url and loaded url in sub link extraction (#10895) 10 months ago
Bagatur 24cb5cd379
bump 298 (#10892) 10 months ago
Bagatur c1f9cc0bc5
recursive loader add status check (#10891) 10 months ago
Matvey Arye 6e02c45ca4
Add integration for Timescale Vector(Postgres) (#10650)
**Description:**
This commit adds a vector store for the Postgres-based vector database
(`TimescaleVector`).

Timescale Vector(https://www.timescale.com/ai) is PostgreSQL++ for AI
applications. It enables you to efficiently store and query billions of
vector embeddings in `PostgreSQL`:
- Enhances `pgvector` with faster and more accurate similarity search on
1B+ vectors via DiskANN inspired indexing algorithm.
- Enables fast time-based vector search via automatic time-based
partitioning and indexing.
- Provides a familiar SQL interface for querying vector embeddings and
relational data.

Timescale Vector scales with you from POC to production:
- Simplifies operations by enabling you to store relational metadata,
vector embeddings, and time-series data in a single database.
- Benefits from rock-solid PostgreSQL foundation with enterprise-grade
feature liked streaming backups and replication, high-availability and
row-level security.
- Enables a worry-free experience with enterprise-grade security and
compliance.

Timescale Vector is available on Timescale, the cloud PostgreSQL
platform. (There is no self-hosted version at this time.) LangChain
users get a 90-day free trial for Timescale Vector.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Avthar Sewrathan <avthar@timescale.com>
10 months ago
Michael Feil 55570e54e1
gradient.ai LLM intregration (#10800)
- **Description:** This PR implements a new LLM API to
https://gradient.ai
- **Issue:** Feature request for LLM #10745 
- **Dependencies**: No additional dependencies are introduced. 
- **Tag maintainer:** I am opening this PR for visibility, once ready
for review I'll tag.

- ```make format && make lint && make test``` is running.
- added a `integration` and `mock unit` test.


Co-authored-by: michaelfeil <me@michaelfeil.eu>
Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Bagatur 5097007407
cleanup recursive url session (#10863) 10 months ago
Harrison Chase 777b33b873
fix experimental imports (#10875) 10 months ago
Harrison Chase 808caca607
beef up agent docs (#10866) 10 months ago
Sharath Rajasekar 96023f94d9
Add Javelin integration (#10275)
We are introducing the py integration to Javelin AI Gateway
www.getjavelin.io. Javelin is an enterprise-scale fast llm router &
gateway. Could you please review and let us know if there is anything
missing.

Javelin AI Gateway wraps Embedding, Chat and Completion LLMs. Uses
javelin_sdk under the covers (pip install javelin_sdk).

Author: Sharath Rajasekar, Twitter: @sharathr, @javelinai

Thanks!!
10 months ago
Bagatur 957956ba6d
bump 297 (#10861) 10 months ago
Harrison Chase 1bc3244db9
fix loading of sql chain (#10860)
Closing #6889
10 months ago
Bagatur b05a74b106
fix recursive loader (#10856) 10 months ago
Bagatur de0a02f507
fix extract sublink bug (#10855) 10 months ago
Harrison Chase 7dec2d399b
format intermediate steps (#10794)
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
10 months ago
Harrison Chase 386ef1e654
add agent output parsers (#10790) 10 months ago
Mukit Momin 67c5950df3
Amazon Bedrock Support Streaming (#10393)
### Description

- Add support for streaming with `Bedrock` LLM and `BedrockChat` Chat
Model.
- Bedrock as of now supports streaming for the `anthropic.claude-*` and
`amazon.titan-*` models only, hence support for those have been built.
- Also increased the default `max_token_to_sample` for Bedrock
`anthropic` model provider to `256` from `50` to keep in line with the
`Anthropic` defaults.
- Added examples for streaming responses to the bedrock example
notebooks.

**_NOTE:_**: This PR fixes the issues mentioned in #9897 and makes that
PR redundant.
10 months ago
Bagatur 0749a642f5
Stream refac and vertex streaming (#10470)
---------

Co-authored-by: Terry Cruz Melo <tcruz@vozy.co>
Co-authored-by: Terry Cruz Melo <33166112+TerryCM@users.noreply.github.com>
10 months ago
William FH f421af8b80
Criteria Parser Improvements (#10824) 10 months ago
Bagatur 46aa90062b
bump exp 19 (#10851) 10 months ago
Bagatur 775f3edffd
bump 296 (#10842) 10 months ago
Bagatur 96a9c27116
fix recursive loader (#10752)
maintain same base url throughout recursion, yield initial page, fixing
recursion depth tracking
10 months ago
Nuno Campos 276125a33b
Use shallow copy on runnable locals (#10825)
- deep copy prevents storing complex objects in locals
10 months ago
DanielZzz ebe08412ad
fix: chat_models Qianfan not compatiable with SystemMessage (#10642)
- **Description:** QianfanEndpoint bugs for SystemMessages. When the
`SystemMessage` is input as the messages to
`chat_models.QianfanEndpoint`. A `TypeError` will be raised.
  - **Issue:** #10643
  - **Dependencies:** 
  - **Tag maintainer:** @baskaryan
  - **Twitter handle:** no
10 months ago
Massimiliano Pronesti f0198354d9
fix(embeddings): number of texts in Azure OpenAIEmbeddings batch (#10707)
This PR addresses the limitation of Azure OpenAI embeddings, which can
handle at maximum 16 texts in a batch. This can be solved setting
`chunk_size=16`. However, I'd love to have this automated, not to force
the user to figure where the issue comes from and how to solve it.

Closes #4575. 

@baskaryan

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
10 months ago
zhanghexian 0abe996409
add clustered vearch in langchain (#10771)
---------

Co-authored-by: zhanghexian1 <zhanghexian1@jd.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
10 months ago
HeTaoPKU f505320a73
Add Minimax chat model (#10776)
resolve the merging issues for
https://github.com/langchain-ai/langchain/pull/6757

---------

Co-authored-by: 何涛 <taohe@bytedance.com>
10 months ago
Anar c656a6b966
LLMRails (#10796)
### LLMRails Integration
This PR provides integration with LLMRails. Implemented here are:

langchain/vectorstore/llm_rails.py
tests/integration_tests/vectorstores/test_llm_rails.py
docs/extras/integrations/vectorstores/llm-rails.ipynb

---------

Co-authored-by: Anar Aliyev <aaliyev@mgmt.cloudnet.services>
Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
mateai 900dbd1cbe
Substring support for similarity_search_with_score (#10746)
**Description:** Possible to filter with substrings in
similarity_search_with_score, for example: filter={'user_id':
{'substring': 'user'}}

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
10 months ago
Ansil M B 740eafe41d
Updated return parameter of YouTubeSearchTool (#10743)
**Description:** 
changed return parameter of YouTubeSearchTool
 

1. changed the returning links of youtube videos by adding prefix
"https://www.youtube.com", now this will return the exact links to the
videos
2. updated the returning type from 'string' to 'list', which will be
more suited for further processings

 **Issue:** 
Fixes #10742

 **Dependencies:** 
None


<!-- Thank you for contributing to LangChain!

Replace this entire comment with:
  - **Description:** changed return parameter of YouTubeSearchTool
  - **Issue:** the issue # it fixes (if applicable),
  - **Dependencies:** None
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
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Please make sure your PR is passing linting and testing before
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See contribution guidelines for more information on how to write/run
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If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
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2. an example notebook showing its use. It lives in `docs/extras`
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@baskaryan, @eyurtsev, @hwchase17.
 -->

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
10 months ago
Harrison Chase 1dae3c383e
Harrison/add submodule to docs (#10803) 10 months ago
Henry (Hezheng) Yin c15bbaac31
misc: add gpt-3.5-turbo-instruct to model_token_mapping (#10808)
A one-line fix to get`max_tokens=-1` working `OpenAI` class for
`gpt-3.5-turbo-instruct` model.

Closes https://github.com/langchain-ai/langchain/issues/10806
10 months ago
Harrison Chase d2bee34d4c
Harrison/add vald (#10807)
Co-authored-by: datelier <57349093+datelier@users.noreply.github.com>
10 months ago
Jacob Lee bbc3fe259b
Start RunnableBranch callback tags with 1 instead of 0 (#10755)
Changes to match `RunnableSequences`

@eyurtsev
10 months ago
Ziyang Liu 931b292126
Add support for HTTP PUT in the open api agent prompt (#10763)
**Description:** This PR adds HTTP PUT support for the langchain openapi
agent toolkit by leveraging existing structure and HTTP put request
wrapper. The PUT method is almost identical to HTTP POST but should be
idempotent and therefore tighter than POST which is not idempotent. Some
APIs may consider to use PUT instead of POST which is unfortunately not
supported with the current toolkit yet.
10 months ago
Mateusz Wosinski a29cd89923
Synthetic data generation (#9759)
### Description

Implements synthetic data generation with the fields and preferences
given by the user. Adds showcase notebook.
Corresponding prompt was proposed for langchain-hub.

### Example

```
output = chain({"fields": {"colors": ["blue", "yellow"]}, "preferences": {"style": "Make it in a style of a weather forecast."}})
print(output)

# {'fields': {'colors': ['blue', 'yellow']},
 'preferences': {'style': 'Make it in a style of a weather forecast.'},
 'text': "Good morning! Today's weather forecast brings a beautiful combination of colors to the sky, with hues of blue and yellow gently blending together like a mesmerizing painting."}
```

### Twitter handle 

@deepsense_ai @matt_wosinski

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Bagatur c4a6de3fc9
Revert "Add ChatGLM for llm and chat_model by using ChatGLM API (#9797)" (#10805)
@etveritas reverting for now until this is resolved
https://github.com/langchain-ai/langchain/pull/9797/files#r1330795585,
apologies for merging too eagerly!
10 months ago
Mickaël c86a1a6710
chore: allow using dataclasses_json dependency v0.6.0 (#10775)
**Description:** upgrade the `dataclasses_json` dependency to its latest
version ([no real breaking
change](https://github.com/lidatong/dataclasses-json/releases/tag/v0.6.0)
if used correctly), while allowing previous version to not break other
users' setup
**Issue:** I need to use the latest version of that dependency in my
project, but `langchain` prevents it.

Note: it looks like running `poetry lock --no-update` did some changes
to the lockfiles as it was the first time it was with the
`macosx_11_0_arm64` architecture 🤷

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
10 months ago
Bagatur 76dd7480e6
Add batch_size param to Weaviate vector store (#9890)
cc @mcantillon21 @hsm207 @cs0lar
10 months ago
Mateusz Wosinski 720f6dbaac
Add XMLOutputParser (#10051)
**Description**
Adds new output parser, this time enabling the output of LLM to be of an
XML format. Seems to be particularly useful together with Claude model.
Addresses [issue
9820](https://github.com/langchain-ai/langchain/issues/9820).

**Twitter handle**
@deepsense_ai @matt_wosinski
10 months ago
etVERITAS d6df288380
Add ChatGLM for llm and chat_model by using ChatGLM API (#9797)
using sample:
```
endpoint_url = API URL
ChatGLM_llm = ChatGLM(
    endpoint_url=endpoint_url,
    api_key=Your API Key by ChatGLM
)
print(ChatGLM_llm("hello"))
```

```
model = ChatChatGLM(
    chatglm_api_key="api_key",
    chatglm_api_base="api_base_url",
    model_name="model_name"
)
chain = LLMChain(llm=model)
```
Description: The call of ChatGLM has been adapted.
Issue: The call of ChatGLM has been adapted.
Dependencies: Need python package `zhipuai` and `aiostream`
Tag maintainer: @baskaryan
Twitter handle: None

I remove the compatibility test for pydantic version 2, because pydantic
v2 can't not pickle classmethod,but BaseModel use @root_validator is a
classmethod decorator.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
10 months ago
Harrison Chase d60145229b
make agent action serializable (#10797)
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
10 months ago
Maxime Bourliatoux 21b236e5e4
Fixing _InactiveRpcError in MatchingEngine vectorstore (#10056)
- Description: There was an issue with the MatchingEngine VectorStore,
preventing from using it with a public endpoint. In the Google Cloud
library there are two similar methods for private or public endpoints :
`match()` and `find_neighbors()`.
  - Issue: Fixes #8378 
- This uses the `google.cloud.aiplatform` library :
https://github.com/googleapis/python-aiplatform/blob/main/google/cloud/aiplatform/matching_engine/matching_engine_index_endpoint.py
10 months ago
Sam Chou 4f19ba3065
Azure Search: Remove select field restrictions and expand metadata to other fields, also expose kwargs to searches (#9894)
Description: 
If metadata field returned in results, previous behavior unchanged. If
metadata field does not exist in results, expand metadata to any fields
returned outside of content field.

There's precedence for this as well, see the retriever:
https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/retrievers/azure_cognitive_search.py#L96C46-L96C46

Issue: 
#9765 - Ameliorates hard-coding in case you already indexed to cognitive
search without a metadata field but rather placed metadata in separate
fields.

@hwchase17
10 months ago
Piyush Jain 94cf71ecfa
Updated Neptune graph to use boto (#10121)
## Description
This PR updates the `NeptuneGraph` class to start using the boto API for
connecting to the Neptune service. With boto integration, the graph
class now supports authenticating requests using Sigv4; this is
encapsulated with the boto API, and users only have to ensure they have
the correct AWS credentials setup in their workspace to work with the
graph class.

This PR also introduces a conditional prompt that uses a simpler prompt
when using the `Anthropic` model provider. A simpler prompt have seemed
to work better for generating cypher queries in our testing.

**Note**: This version will require boto3 version 1.28.38 or greater to
work.
10 months ago
Douglas Monsky d5f1969d55
Introducing Enhanced Functionality to WeaviateHybridSearchRetriever: Accepting Additional Keyword Arguments (#10802)
**Description:** 
This commit enriches the `WeaviateHybridSearchRetriever` class by
introducing a new parameter, `hybrid_search_kwargs`, within the
`_get_relevant_documents` method. This parameter accommodates arbitrary
keyword arguments (`**kwargs`) which can be channeled to the inherited
public method, `get_relevant_documents`, originating from the
`BaseRetriever` class.

This modification facilitates more intricate querying capabilities,
allowing users to convey supplementary arguments to the `.with_hybrid()`
method. This expansion not only makes it possible to perform a more
nuanced search targeting specific properties but also grants the ability
to boost the weight of searched properties, to carry out a search with a
custom vector, and to apply the Fusion ranking method. The documentation
has been updated accordingly to delineate these new possibilities in
detail.

In light of the layered approach in which this search operates,
initiating with `query.get()` and then transitioning to
`.with_hybrid()`, several advantageous opportunities are unlocked for
the hybrid component that were previously unattainable.

Here’s a representative example showcasing a query structure that was
formerly unfeasible:

[Specific Properties
Only](https://weaviate.io/developers/weaviate/search/hybrid#selected-properties-only)
"The example below illustrates a BM25 search targeting the keyword
'food' exclusively within the 'question' property, integrated with
vector search results corresponding to 'food'."
```python
response = (
    client.query
    .get("JeopardyQuestion", ["question", "answer"])
    .with_hybrid(
        query="food",
        properties=["question"], # Will now be possible moving forward
        alpha=0.25
    )
    .with_limit(3)
    .do()
)
```
This functionality is now accessible through my alterations, by
conveying `hybrid_search_kwargs={"properties": ["question", "answer"]}`
as an argument to
`WeaviateHybridSearchRetriever.get_relevant_documents()`. For example:

```python
import os
from weaviate import Client
from langchain.retrievers import WeaviateHybridSearchRetriever

client = Client(
        url=os.getenv("WEAVIATE_CLIENT_URL"),
        additional_headers={
            "X-OpenAI-Api-Key": os.getenv("OPENAI_API_KEY"),
            "Authorization": f"Bearer {os.getenv('WEAVIATE_API_KEY')}",
        },
    )

index_name = "Document"
text_key = "content"
attributes = ["title", "summary", "header", "url"]

retriever = ExtendedWeaviateHybridSearchRetriever(
        client=client,
        index_name=index_name,
        text_key=text_key,
        attributes=attributes,
    )

# Warning: to utilize properties in this way, each use property must also be in the list `attributes + [text_key]`.
hybrid_search_kwargs = {"properties": ["summary^2", "content"]}
query_text = "Some Query Text"

relevant_docs = retriever.get_relevant_documents(
        query=query_text,
        hybrid_search_kwargs=hybrid_search_kwargs
    )
```
In my experience working with the `weaviate-client` library, I have
found that these supplementary options stand as vital tools for
refining/finetuning searches, notably within multifaceted datasets. As a
final note, this implementation supports both backwards and forward
(within reason) compatiblity. It accommodates any future additional
parameters Weaviate may add to `.with_hybrid()`, without necessitating
further alterations.

**Additional Documentation:**
For a more comprehensive understanding and to explore a myriad of useful
options that are now accessible, please refer to the Weaviate
documentation:
- [Fusion Ranking
Method](https://weaviate.io/developers/weaviate/search/hybrid#fusion-ranking-method)
- [Selected Properties
Only](https://weaviate.io/developers/weaviate/search/hybrid#selected-properties-only)
- [Weight Boost Searched
Properties](https://weaviate.io/developers/weaviate/search/hybrid#weight-boost-searched-properties)
- [With a Custom
Vector](https://weaviate.io/developers/weaviate/search/hybrid#with-a-custom-vector)

**Tag Maintainer:** 
@hwchase17 - I have tagged you based on your frequent contributions to
the pertinent file, `/retrievers/weaviate_hybrid_search.py`. My
apologies if this was not the appropriate choice.

Thank you for considering my contribution, I look forward to your
feedback, and to future collaboration.
10 months ago
Jacob Lee 61cecf8b1b
Fix for versioned OpenAI instruct models (#10788)
Versioned OpenAI instruct models may end with numbers, e.g.
`gpt-3.5-turbo-instruct-0914`.

Fixes https://github.com/langchain-ai/langchainjs/issues/2669 in Python
10 months ago
Cory Zue 62603f2664
make auto-setting the encodings optional, alow explicitly setting it (#10774)
I was trying to use web loaders on some spanish documentation (e.g.
[this site](https://www.fromdoppler.com/es/mailing-tendencias/), but the
auto-encoding introduced in
https://github.com/langchain-ai/langchain/pull/3602 was detected as
"MacRoman" instead of the (correct) "UTF-8".

To address this, I've added the ability to disable the auto-encoding, as
well as the ability to explicitly tell the loader what encoding to use.

- **Description:** Makes auto-setting the encoding optional in
`WebBaseLoader`, and introduces an `encoding` option to explicitly set
it.
  - **Dependencies:** N/A
  - **Tag maintainer:** @hwchase17 
  - **Twitter handle:** @czue
10 months ago
Harrison Chase c68be4eb2b
tool rendering (#10786) 10 months ago
Aashish Saini 1b050b98f5
Corrected some spelling mistakes and grammatical errors (#10791)
Corrected some spelling mistakes and grammatical errors
CC: @baskaryan, @eyurtsev, @hwchase17.

---------

Co-authored-by: Ishita Chauhan <136303787+IshitaChauhanShortHillsAI@users.noreply.github.com>
Co-authored-by: Aashish Saini <141953346+AashishSainiShorthillsAI@users.noreply.github.com>
Co-authored-by: ManpreetShorthillsAI <142380984+ManpreetShorthillsAI@users.noreply.github.com>
Co-authored-by: AryamanJaiswalShorthillsAI <142397527+AryamanJaiswalShorthillsAI@users.noreply.github.com>
Co-authored-by: Adarsh Shrivastav <142413097+AdarshKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: Vishal <141389263+VishalYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: ChetnaGuptaShorthillsAI <142381084+ChetnaGuptaShorthillsAI@users.noreply.github.com>
Co-authored-by: PankajKumarShorthillsAI <142473460+PankajKumarShorthillsAI@users.noreply.github.com>
Co-authored-by: AbhishekYadavShorthillsAI <142393903+AbhishekYadavShorthillsAI@users.noreply.github.com>
Co-authored-by: AmitSinghShorthillsAI <142410046+AmitSinghShorthillsAI@users.noreply.github.com>
Co-authored-by: Md Nazish Arman <142379599+MdNazishArmanShorthillsAI@users.noreply.github.com>
Co-authored-by: KamalSharmaShorthillsAI <142474019+KamalSharmaShorthillsAI@users.noreply.github.com>
Co-authored-by: Lakshya <lakshyagupta87@yahoo.com>
Co-authored-by: Aayush <142384656+AayushShorthillsAI@users.noreply.github.com>
Co-authored-by: AnujMauryaShorthillsAI <142393269+AnujMauryaShorthillsAI@users.noreply.github.com>
Co-authored-by: ishita <chauhanishita5356@gmail.com>
10 months ago
Ahmad Bunni 5272e42b0d
Add namespace to pinecone hybrid search (#10677)
**Description:** 
  
Pinecone hybrid search is now limited to default namespace. There is no
option for the user to provide a namespace to partition an index, which
is one of the most important features of pinecone.
  
**Resource:** 
https://docs.pinecone.io/docs/namespaces

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
10 months ago
Bagatur 0d1550da91
Bagatur/bump 295 (#10785) 10 months ago
Vikram Shitole a4e858b111
Sagemaker endpoint capability to inject boto3 client for cross account scenarios (#10728)
- **Description: Allow to inject boto3 client for Cross account access
type of scenarios in using Sagemaker Endpoint **
  - **Issue:#10634 #10184** 
  - **Dependencies: None** 
  - **Tag maintainer:** 
  - **Twitter handle:lethargicoder**

Co-authored-by: Vikram(VS) <vssht@amazon.com>
10 months ago
William FH c8f386db97
Merge metadata + tags in config (#10762)
Think these should be a merge/update rather than overwrite
10 months ago
BarberAlec c898a4d7ba
Update ContextCallbackHandler Docstring & metadata key (#10732)
- **Description:** Updating URL in Context Callback Docstrings and
update metadata key Context CallbackHandler uses to send model names.
- **Issue:** The URL in ContextCallbackHandler is out of date. Model
data being sent to Context should be under the "model" key and not
"llm_model". This allows Context to do more sophisticated analysis.
  - **Dependencies:** None

Tagging @agamble.
10 months ago
Harrison Chase 8b68d1a03b
keep reference to old embeddings base (#10759) 10 months ago
Jacob Lee babf46692d
Allow extra variables when invoking prompt templates (#10765)
Makes chaining easier as many maps have extra properties.

@baskaryan @hwchase17
10 months ago
Bagatur 8515e27d82
bump 294 (#10751) 10 months ago
Jacob Lee 579d14fbc1
Allow 3.5-turbo instruct models in the OpenAI LLM class (#10750)
@baskaryan @hwchase17
10 months ago
Harrison Chase e404fd39dd
add anthropic page (#10666) 10 months ago
Bagatur 5072138893
bump 293 (#10740) 10 months ago
Harrison Chase 12ff780089
move embeddings to schema (#10696) 10 months ago