Commit Graph

169 Commits (6a1a0d977a994a743d5a297a2345cc9f760d0297)

Author SHA1 Message Date
Erick Friis f09bd0b75b
upstage: init package (#20574)
Co-authored-by: Sean Cho <sean@upstage.ai>
Co-authored-by: JuHyung-Son <sonju0427@gmail.com>
5 months ago
Pengcheng Liu ecd19a9e58
community[patch]: Add function call support in Tongyi chat model. (#20119)
- [ ] **PR message**: 
- **Description:** This pr adds function calling support in Tongyi chat
model.
    - **Issue:** None
    - **Dependencies:** None
    - **Twitter handle:** None

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
5 months ago
Sevin F. Varoglu 3f156e0ece
community[minor]: add ChatOctoAI (#20059)
This PR adds ChatOctoAI, a chat model integration for OctoAI.
5 months ago
Eun Hye Kim b34f1086fe
community[patch]: Add streaming logic in ChatHuggingFace (#18784)
- Add functions (_stream, _astream)
- Connect to _generate and _agenerate

Thank you for contributing to LangChain!

- [x] **PR title**: "community: Add streaming logic in ChatHuggingFace"

- [x] **PR message**: ***Delete this entire checklist*** and replace
with
- **Description:** Addition functions (_stream, _astream) and connection
to _generate and _agenerate
    - **Issue:** #18782
    - **Dependencies:** none
    - **Twitter handle:** @lunara_x
5 months ago
Guangdong Liu b78ede2f96
community[patch]: standardize init args (#20166)
Related to https://github.com/langchain-ai/langchain/issues/20085

@baskaryan
5 months ago
Guangdong Liu 3729bec1a2
community[patch]: standardize init args (#20210)
Related to https://github.com/langchain-ai/langchain/issues/20085

@baskaryan
5 months ago
WeichenXu e9fc87aab1
community[patch]: Make ChatDatabricks model supports streaming response (#19912)
**Description:** Make ChatDatabricks model supports stream
**Issue:** N/A
**Dependencies:** MLflow nightly build version (we will release next
MLflow version soon)
**Twitter handle:** N/A

Manually test:

(Before testing, please install `pip install
git+https://github.com/mlflow/mlflow.git`)

```python
# Test Databricks Foundation LLM model
from langchain.chat_models import ChatDatabricks

chat_model = ChatDatabricks(
    endpoint="databricks-llama-2-70b-chat",
    max_tokens=500
)
from langchain_core.messages import AIMessageChunk

for chunk in chat_model.stream("What is mlflow?"):
  print(chunk.content, end="|")
```

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


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

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

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

---------

Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
5 months ago
Guangdong Liu 4be7ca7b4c
community[patch]:sparkllm standardize init args (#20194)
Related to https://github.com/langchain-ai/langchain/issues/20085
@baskaryan
5 months ago
P. Taylor Goetz 9317df7f16
community[patch]: Add "model" attribute to the payload sent to Ollama in `ChatOllama` (#20354)
Example Ollama API calls:

Request without "model":
```
curl --location 'http://localhost:11434/api/chat' \
--header 'Content-Type: application/json' \
--data '{
  "messages": [
    {
      "role": "user",
      "content": "What is the capitol of PA?"
    }
  ],
  "stream": false
}'
```
Response:
```
{"error":"model is required"}
```

Request with "model":
```
curl --location 'http://localhost:11434/api/chat' \
--header 'Content-Type: application/json' \
--data '{
  "model": "openchat",
  "messages": [
    {
      "role": "user",
      "content": "What is the capitol of PA?"
    }
  ],
  "stream": false
}'
```

Response:
```
{
  "eval_duration" : 733248000,
  "created_at" : "2024-04-11T23:04:08.735766843Z",
  "model" : "openchat",
  "message" : {
    "content" : " The capital city of Pennsylvania is Harrisburg.",
    "role" : "assistant"
  },
  "total_duration" : 3138731168,
  "prompt_eval_count" : 25,
  "load_duration" : 466562959,
  "done" : true,
  "prompt_eval_duration" : 1938495000,
  "eval_count" : 10
}
```
5 months ago
Leonid Ganeline 7cf2d2759d
community[patch]: docstrings update (#20301)
Added missed docstrings. Format docstings to the consistent form.
6 months ago
Leonid Ganeline 4cb5f4c353
community[patch]: import flattening fix (#20110)
This PR should make it easier for linters to do type checking and for IDEs to jump to definition of code.

See #20050 as a template for this PR.
- As a byproduct: Added 3 missed `test_imports`.
- Added missed `SolarChat` in to __init___.py Added it into test_import
ut.
- Added `# type: ignore` to fix linting. It is not clear, why linting
errors appear after ^ changes.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
6 months ago
Guangdong Liu 97d91ec17c
community[patch]: standardize baichuan init args (#20209)
Related to https://github.com/langchain-ai/langchain/issues/20085

@baskaryan
6 months ago
Shuqian ad9750403b
community[minor]: add bedrock anthropic callback for token usage counting (#19864)
**Description:** add bedrock anthropic callback for token usage
counting, consulted openai callback.

---------

Co-authored-by: Massimiliano Pronesti <massimiliano.pronesti@gmail.com>
6 months ago
Prince Canuma 1f9f4d8742
community[minor]: Add support for MLX models (chat & llm) (#18152)
**Description:** This PR adds support for MLX models both chat (i.e.,
instruct) and llm (i.e., pretrained) types/
**Dependencies:** mlx, mlx_lm, transformers
**Twitter handle:** @Prince_Canuma

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Bagatur 5ae0e687b3
docs: use standard openai params (#20160)
Part of #20085
6 months ago
Chenhui Zhang a1f3e9f537
community[minor]: Update ChatZhipuAI to support GLM-4 model (#16695)
Description: Update `ChatZhipuAI` to support the latest `glm-4` model.
Issue: N/A
Dependencies: httpx, httpx-sse, PyJWT

The previous `ChatZhipuAI` implementation requires the `zhipuai`
package, and cannot call the latest GLM model. This is because
- The old version `zhipuai==1.*` doesn't support the latest model.
- `zhipuai==2.*` requires `pydantic V2`, which is incompatible with
'langchain-community'.

This re-implementation invokes the GLM model by sending HTTP requests to
[open.bigmodel.cn](https://open.bigmodel.cn/dev/api) via the `httpx`
package, and uses the `httpx-sse` package to handle stream events.

---------

Co-authored-by: zR <2448370773@qq.com>
6 months ago
ethynic e9caa22d47
community[patch]: Update minimax.py (#14384)
MiniMaxChat class _generate method shoud return a ChatResult object not
str

Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Jialei f7c903e24a
community[minor]: add support for Moonshot llm and chat model (#17100) 6 months ago
Sachin Paryani 25c9f3d1d1
community[patch]: Support Streaming in Azure Machine Learning (#18246)
- [x] **PR title**: "community: Support streaming in Azure ML and few
naming changes"

- [x] **PR message**:
- **Description:** Added support for streaming for azureml_endpoint.
Also, renamed and AzureMLEndpointApiType.realtime to
AzureMLEndpointApiType.dedicated. Also, added new classes
CustomOpenAIChatContentFormatter and CustomOpenAIContentFormatter and
updated the classes LlamaChatContentFormatter and LlamaContentFormatter
to now show a deprecated warning message when instantiated.

---------

Co-authored-by: Sachin Paryani <saparan@microsoft.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
高璟琦 75173d31db
community[minor]: Add solar model chat model (#18556)
Add our solar chat models, available model choices:
* solar-1-mini-chat
* solar-1-mini-translate-enko
* solar-1-mini-translate-koen

More documents and pricing can be found at
https://console.upstage.ai/services/solar.

The references to our solar model can be found at
* https://arxiv.org/abs/2402.17032

---------

Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
Davide Menini f7042321f1
community[patch]: gather token usage info in BedrockChat during generation (#19127)
This PR allows to calculate token usage for prompts and completion
directly in the generation method of BedrockChat. The token usage
details are then returned together with the generations, so that other
downstream tasks can access them easily.

This allows to define a callback for tokens tracking and cost
calculation, similarly to what happens with OpenAI (see
[OpenAICallbackHandler](https://api.python.langchain.com/en/latest/_modules/langchain_community/callbacks/openai_info.html#OpenAICallbackHandler).
I plan on adding a BedrockCallbackHandler later.
Right now keeping track of tokens in the callback is already possible,
but it requires passing the llm, as done here:
https://how.wtf/how-to-count-amazon-bedrock-anthropic-tokens-with-langchain.html.
However, I find the approach of this PR cleaner.

Thanks for your reviews. FYI @baskaryan, @hwchase17

---------

Co-authored-by: taamedag <Davide.Menini@swisscom.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
ligang-super a662468dde
community[patch]: Fix the error of Baidu Qianfan not passing the stop parameter (#18666)
- [x] **PR title**: "community: fix baidu qianfan missing stop
parameter"
- [x] **PR message**:
- **Description: Baidu Qianfan lost the stop parameter when requesting
service due to extracting it from kwargs. This bug can cause the agent
to receive incorrect results

---------

Co-authored-by: ligang33 <ligang33@baidu.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
6 months ago
kaijietti 9c4b6dc979
community[patch]: fix bug in cohere that `async for` a coroutine in ChatCohere (#19381)
Without `await`, the `stream` returned from the `async_client` is
actually a coroutine, which could not be used in `async for`.
6 months ago
Dobiichi-Origami 18e6f9376d
community[Qianfan]: add function_call in additional_kwargs (#19550)
- **Description:** add lacked `function_call` field in
`additional_kwargs` in previous version
- **Dependencies:** None of new dependency
6 months ago
Anindyadeep b2a11ce686
community[minor]: Prem AI langchain integration (#19113)
### Prem SDK integration in LangChain

This PR adds the integration with [PremAI's](https://www.premai.io/)
prem-sdk with langchain. User can now access to deployed models
(llms/embeddings) and use it with langchain's ecosystem. This PR adds
the following:

### This PR adds the following:

- [x]  Add chat support
- [X]  Adding embedding support
- [X]  writing integration tests
    - [X]  writing tests for chat 
    - [X]  writing tests for embedding
- [X]  writing unit tests
    - [X]  writing tests for chat 
    - [X]  writing tests for embedding
- [X]  Adding documentation
    - [X]  writing documentation for chat
    - [X]  writing documentation for embedding
- [X] run `make test`
- [X] run `make lint`, `make lint_diff` 
- [X]  Final checks (spell check, lint, format and overall testing)

---------

Co-authored-by: Anindyadeep Sannigrahi <anindyadeepsannigrahi@Anindyadeeps-MacBook-Pro.local>
Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
Dmitry Tyumentsev 08b769d539
community[patch]: YandexGPT Use recent yandexcloud sdk version (#19341)
Fixed inability to work with [yandexcloud
SDK](https://pypi.org/project/yandexcloud/) version higher 0.265.0
6 months ago
Mikelarg dac2e0165a
community[minor]: Added GigaChat Embeddings support + updated previous GigaChat integration (#19516)
- **Description:** Added integration with
[GigaChat](https://developers.sber.ru/portal/products/gigachat)
embeddings. Also added support for extra fields in GigaChat LLM and
fixed docs.
6 months ago
billytrend-cohere 63343b4987
cohere[patch]: add cohere as a partner package (#19049)
Description: adds support for langchain_cohere

---------

Co-authored-by: Harry M <127103098+harry-cohere@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
6 months ago
Igor Muniz Soares 743f888580
community[minor]: Dappier chat model integration (#19370)
**Description:** 

This PR adds [Dappier](https://dappier.com/) for the chat model. It
supports generate, async generate, and batch functionalities. We added
unit and integration tests as well as a notebook with more details about
our chat model.


**Dependencies:** 
    No extra dependencies are needed.
6 months ago
billytrend-cohere f6bcd42421
community[patch]: Replace positional argument with text=text for cohere>=5 compatibility (#19407)
- **Description:** Replace positional argument with text=text for
cohere>=5 compatibility
6 months ago
Taqi Jaffri 044bc22acc
Community: Add mistral oss model support to azureml endpoints, plus configurable timeout (#19123)
- **Description:** There was no formatter for mistral models for Azure
ML endpoints. Adding that, plus a configurable timeout (it was hard
coded before)
- **Dependencies:** none
- **Twitter handle:** @tjaffri @docugami
6 months ago
Pengfei Jiang 514fe80778
community[patch]: add stop parameter support to volcengine maas (#19052)
- **Description:** add stop parameter to volcengine maas model
- **Dependencies:** no

---------

Co-authored-by: 江鹏飞 <jiangpengfei.jiangpf@bytedance.com>
6 months ago
htaoruan bcc771e37c
docs: ChatTongyi example error (#19013) 6 months ago
Rodrigo Nogueira e64cf1aba4
community: Add model argument for maritalk models and better error handling (#19187) 6 months ago
wulixuan 0e0030f494
community[patch]: fix yuan2 chat model errors while invoke. (#19015)
1. fix yuan2 chat model errors while invoke.
2. update related tests.
3. fix some deprecationWarning.
6 months ago
Shuai Liu c244e1a50b
community[patch]: Fixed bug in merging `generation_info` during chunk concatenation in Tongyi and ChatTongyi (#19014)
- **Description:** 

In #16218 , during the `GenerationChunk` and `ChatGenerationChunk`
concatenation, the `generation_info` merging changed from simple keys &
values replacement to using the util method
[`merge_dicts`](https://github.com/langchain-ai/langchain/blob/master/libs/core/langchain_core/utils/_merge.py):


![image](https://github.com/langchain-ai/langchain/assets/2098020/10f315bf-7fe0-43a7-a0ce-6a3834b99a15)

The `merge_dicts` method could not handle merging values of `int` or
some other types, and would raise a
[`TypeError`](https://github.com/langchain-ai/langchain/blob/master/libs/core/langchain_core/utils/_merge.py#L55).

This PR fixes this issue in the **Tongyi and ChatTongyi Model** by
adopting the `generation_info` of the last chunk
and discarding the `generation_info` of the intermediate chunks,
ensuring that `stream` and `astream` function correctly.

- **Issue:**  
    - Related issues or PRs about Tongyi & ChatTongyi: #16605, #17105 
    - Other models or cases: #18441, #17376
- **Dependencies:** No new dependencies
6 months ago
case-k ebc4a64f9e
docs: fix databricks document url (#19096)
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
6 months ago
billytrend-cohere 7253b816cc
community: Add support for cohere SDK v5 (keeps v4 backwards compatibility) (#19084)
- **Description:** Add support for cohere SDK v5 (keeps v4 backwards
compatibility)

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
6 months ago
Dobiichi-Origami 471f2ed40a
community[patch]: re-arrange the addtional_kwargs of returned qianfan structure to avoid _merge_dict issue (#18889)
fix issue: https://github.com/langchain-ai/langchain/issues/18441
PTAL, thanks
@baskaryan, @efriis, @eyurtsev, @hwchase17.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
7 months ago
Leonid Ganeline 11195cfa42
community[patch]: speed up import times in the community package (#18928)
This PR speeds up import times in the community package
7 months ago
Anis ZAKARI 37e89ba5b1
community[patch]: Bedrock add support for mistral models (#18756)
*Description**: My previous
[PR](https://github.com/langchain-ai/langchain/pull/18521) was
mistakenly closed, so I am reopening this one. Context: AWS released two
Mistral models on Bedrock last Friday (March 1, 2024). This PR includes
some code adjustments to ensure their compatibility with the Bedrock
class.

---------

Co-authored-by: Anis ZAKARI <anis.zakari@hymaia.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Yunmo Koo fee6f983ef
community[minor]: Integration for `Friendli` LLM and `ChatFriendli` ChatModel. (#17913)
## Description
- Add [Friendli](https://friendli.ai/) integration for `Friendli` LLM
and `ChatFriendli` chat model.
- Unit tests and integration tests corresponding to this change are
added.
- Documentations corresponding to this change are added.

## Dependencies
- Optional dependency
[`friendli-client`](https://pypi.org/project/friendli-client/) package
is added only for those who use `Frienldi` or `ChatFriendli` model.

## Twitter handle
- https://twitter.com/friendliai
7 months ago
Bagatur 3b1eb1f828
community[patch]: chat hf typing fix (#18693) 7 months ago
Erick Friis 1beb84b061
community[patch]: move pdf text tests to integration (#18746) 7 months ago
Guangdong Liu ced5e7bae7
community[patch]: Fix sparkllm authentication problem. (#18651)
- **Description:** fix sparkllm authentication problem.The current
timestamp is in RFC1123 format. The time deviation must be controlled
within 300s. I changed to re-obtain the url every time I ask a question.
https://www.xfyun.cn/doc/spark/general_url_authentication.html#_1-2-%E9%89%B4%E6%9D%83%E5%8F%82%E6%95%B0
7 months ago
Piyush Jain 2b234a4d96
Support for claude v3 models. (#18630)
Fixes #18513.

## Description
This PR attempts to fix the support for Anthropic Claude v3 models in
BedrockChat LLM. The changes here has updated the payload to use the
`messages` format instead of the formatted text prompt for all models;
`messages` API is backwards compatible with all models in Anthropic, so
this should not break the experience for any models.


## Notes
The PR in the current form does not support the v3 models for the
non-chat Bedrock LLM. This means, that with these changes, users won't
be able to able to use the v3 models with the Bedrock LLM. I can open a
separate PR to tackle this use-case, the intent here was to get this out
quickly, so users can start using and test the chat LLM. The Bedrock LLM
classes have also grown complex with a lot of conditions to support
various providers and models, and is ripe for a refactor to make future
changes more palatable. This refactor is likely to take longer, and
requires more thorough testing from the community. Credit to PRs
[18579](https://github.com/langchain-ai/langchain/pull/18579) and
[18548](https://github.com/langchain-ai/langchain/pull/18548) for some
of the code here.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Erick Friis 343438e872
community[patch]: deprecate community fireworks (#18544) 7 months ago
William De Vena 2087cbae64
community[patch]: Invoke callback prior to yielding token (#18449)
## PR title
community[patch]: Invoke callback prior to yielding token

## PR message
- Description: Invoke callback prior to yielding token in _stream method
in chat_models/perplexity.
- Issue: https://github.com/langchain-ai/langchain/issues/16913
- Dependencies: None
7 months ago
Ather Fawaz a5ccf5d33c
community[minor]: Add support for Perplexity chat model(#17024)
- **Description:** This PR adds support for [Perplexity AI
APIs](https://blog.perplexity.ai/blog/introducing-pplx-api).
  - **Issues:** None
  - **Dependencies:** None
  - **Twitter handle:** [@atherfawaz](https://twitter.com/AtherFawaz)

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
7 months ago
Rodrigo Nogueira 3438d2cbcc
community[minor]: add maritalk chat (#17675)
**Description:** Adds the MariTalk chat that is based on a LLM specially
trained for Portuguese.

**Twitter handle:** @MaritacaAI
7 months ago
Daniel Chico 7d962278f6
community[patch]: type ignore fixes (#18395)
Related to #17048
7 months ago
Guangdong Liu 760a16ff32
community[patch]: Fix ChatModel for sparkllm Bug. (#18375)
**PR message**: ***Delete this entire checklist*** and replace with
    - **Description:** fix sparkllm paramer error
    - **Issue:**   close #18370
- **Dependencies:** change `IFLYTEK_SPARK_APP_URL` to
`IFLYTEK_SPARK_API_URL`
    - **Twitter handle:** No
7 months ago
mackong 2c42f3a955
ollama[patch]: delete suffix slash to avoid redirect (#18260)
- **Description:** see
[ollama](https://github.com/ollama/ollama/blob/main/server/routes.go#L949)'s
route definitions
- **Issue:** N/A
- **Dependencies:** N/A
7 months ago
kYLe 56b955fc31
community[minor]: Add async_client for Anyscale Chat model (#18050)
Add `async_client` for Anyscale Chat_model
7 months ago
Nicolò Boschi 4c132b4cc6
community: fix openai streaming throws 'AIMessageChunk' object has no attribute 'text' (#18006)
After upgrading langchain-community to 0.0.22, it's not possible to use
openai from the community package with streaming=True
```
  File "/home/runner/work/ragstack-ai/ragstack-ai/ragstack-e2e-tests/.tox/langchain/lib/python3.11/site-packages/langchain_community/chat_models/openai.py", line 434, in _generate
    return generate_from_stream(stream_iter)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/runner/work/ragstack-ai/ragstack-ai/ragstack-e2e-tests/.tox/langchain/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py", line 65, in generate_from_stream
    for chunk in stream:
  File "/home/runner/work/ragstack-ai/ragstack-ai/ragstack-e2e-tests/.tox/langchain/lib/python3.11/site-packages/langchain_community/chat_models/openai.py", line 418, in _stream
    run_manager.on_llm_new_token(chunk.text, chunk=cg_chunk)
                                 ^^^^^^^^^^
AttributeError: 'AIMessageChunk' object has no attribute 'text'
```

Fix regression of https://github.com/langchain-ai/langchain/pull/17907 
**Twitter handle:** @nicoloboschi
7 months ago
mackong 9678797625
community[patch]: callback before yield for _stream/_astream (#17907)
- Description: callback on_llm_new_token before yield chunk for
_stream/_astream for some chat models, make all chat models in a
consistent behaviour.
- Issue: N/A
- Dependencies: N/A
7 months ago
Chad Juliano 50ba3c68bb
community[minor]: add Kinetica LLM wrapper (#17879)
**Description:** Initial pull request for Kinetica LLM wrapper
**Issue:** N/A
**Dependencies:** No new dependencies for unit tests. Integration tests
require gpudb, typeguard, and faker
**Twitter handle:** @chad_juliano

Note: There is another pull request for Kinetica vectorstore. Ultimately
we would like to make a partner package but we are starting with a
community contribution.
7 months ago
Xudong Sun c524bf31f5
docs: add helpful comments to sparkllm.py (#17774)
Adding helpful comments to sparkllm.py, help users to use ChatSparkLLM
more effectively
7 months ago
mackong 31891092d8
community[patch]: add missing chunk parameter for _stream/_astream (#17807)
- Description: Add missing chunk parameter for _stream/_astream for some
chat models, make all chat models in a consistent behaviour.
- Issue: N/A
- Dependencies: N/A
7 months ago
Aymeric Roucher 0d294760e7
Community: Fuse HuggingFace Endpoint-related classes into one (#17254)
## Description
Fuse HuggingFace Endpoint-related classes into one:
-
[HuggingFaceHub](5ceaf784f3/libs/community/langchain_community/llms/huggingface_hub.py)
-
[HuggingFaceTextGenInference](5ceaf784f3/libs/community/langchain_community/llms/huggingface_text_gen_inference.py)
- and
[HuggingFaceEndpoint](5ceaf784f3/libs/community/langchain_community/llms/huggingface_endpoint.py)

Are fused into
- HuggingFaceEndpoint

## Issue
The deduplication of classes was creating a lack of clarity, and
additional effort to develop classes leads to issues like [this
hack](5ceaf784f3/libs/community/langchain_community/llms/huggingface_endpoint.py (L159)).

## Dependancies

None, this removes dependancies.

## Twitter handle

If you want to post about this: @AymericRoucher

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
wulixuan 5d06797905
community[minor]: integrate chat models with Yuan2.0 (#16575)
1. integrate chat models with
[`Yuan2.0`](https://github.com/IEIT-Yuan/Yuan-2.0/blob/main/README-EN.md)
2. add a new doc for [Yuan2.0
integration](docs/docs/integrations/llms/yuan2.ipynb)
 
Yuan2.0 is a new generation Fundamental Large Language Model developed
by IEIT System. We have published all three models, Yuan 2.0-102B, Yuan
2.0-51B, and Yuan 2.0-2B.

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
7 months ago
Robby e135dc70c3
community[patch]: Invoke callback prior to yielding token (#17348)
**Description:** Invoke callback prior to yielding token in stream
method for Ollama.
**Issue:** [Callback for on_llm_new_token should be invoked before the
token is yielded by the model
#16913](https://github.com/langchain-ai/langchain/issues/16913)

Co-authored-by: Robby <h0rv@users.noreply.github.com>
7 months ago
Erick Friis 3a2eb6e12b
infra: add print rule to ruff (#16221)
Added noqa for existing prints. Can slowly remove / will prevent more
being intro'd
8 months ago
kYLe c9999557bf
community[patch]: Modify LLMs/Anyscale work with OpenAI API v1 (#14206)
<!-- Thank you for contributing to LangChain!

Replace this entire comment with:
  - **Description:** a description of the change, 
  - **Issue:** the issue # it fixes (if applicable),
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 -->
- **Description:** 
1. Modify LLMs/Anyscale to work with OAI v1
2. Get rid of openai_ prefixed variables in Chat_model/ChatAnyscale
3. Modify `anyscale_api_base` to `anyscale_base_url` to follow OAI name
convention (reverted)

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
8 months ago
Leonid Ganeline 932c52c333
community[patch]: docstrings (#16810)
- added missed docstrings
- formated docstrings to the consistent form
8 months ago
Bagatur 66e45e8ab7
community[patch]: chat model mypy fixes (#17061)
Related to #17048
8 months ago
Harrison Chase 4eda647fdd
infra: add -p to mkdir in lint steps (#17013)
Previously, if this did not find a mypy cache then it wouldnt run

this makes it always run

adding mypy ignore comments with existing uncaught issues to unblock other prs

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
8 months ago
Harrison Chase 27665e3546
[community] fix anthropic streaming (#16682) 8 months ago
Ghani e30c6662df
Langchain-community : EdenAI chat integration. (#16377)
- **Description:** This PR adds [EdenAI](https://edenai.co/) for the
chat model (already available in LLM & Embeddings). It supports all
[ChatModel] functionality: generate, async generate, stream, astream and
batch. A detailed notebook was added.

  - **Dependencies**: No dependencies are added as we call a rest API.

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
8 months ago
Brian Burgin 148347e858
community[minor]: Add LiteLLM Router Integration (#15588)
community:

  - **Description:**
- Add new ChatLiteLLMRouter class that allows a client to use a LiteLLM
Router as a LangChain chat model.
- Note: The existing ChatLiteLLM integration did not cover the LiteLLM
Router class.
    - Add tests and Jupyter notebook.
  - **Issue:** None
  - **Dependencies:** Relies on existing ChatLiteLLM integration
  - **Twitter handle:** @bburgin_0

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
8 months ago
Dmitry Tyumentsev e86e66bad7
community[patch]: YandexGPT models - add sleep_interval (#16566)
Added sleep between requests to prevent errors associated with
simultaneous requests.
8 months ago
Jeremi Joslin 9e95699277
community[patch]: Fix error message when litellm is not installed (#16316)
The error message was mentioning the wrong package. I updated it to the
correct one.
8 months ago
Xudong Sun 019b6ebe8d
community[minor]: Add iFlyTek Spark LLM chat model support (#13389)
- **Description:** This PR enables LangChain to access the iFlyTek's
Spark LLM via the chat_models wrapper.
  - **Dependencies:** websocket-client ^1.6.1
  - **Tag maintainer:** @baskaryan 

### SparkLLM chat model usage

Get SparkLLM's app_id, api_key and api_secret from [iFlyTek SparkLLM API
Console](https://console.xfyun.cn/services/bm3) (for more info, see
[iFlyTek SparkLLM Intro](https://xinghuo.xfyun.cn/sparkapi) ), then set
environment variables `IFLYTEK_SPARK_APP_ID`, `IFLYTEK_SPARK_API_KEY`
and `IFLYTEK_SPARK_API_SECRET` or pass parameters when using it like the
demo below:

```python3
from langchain.chat_models.sparkllm import ChatSparkLLM

client = ChatSparkLLM(
    spark_app_id="<app_id>",
    spark_api_key="<api_key>",
    spark_api_secret="<api_secret>"
)
```
8 months ago
Shivani Modi 4e160540ff
community[minor]: Adding Konko Completion endpoint (#15570)
This PR introduces update to Konko Integration with LangChain.

1. **New Endpoint Addition**: Integration of a new endpoint to utilize
completion models hosted on Konko.

2. **Chat Model Updates for Backward Compatibility**: We have updated
the chat models to ensure backward compatibility with previous OpenAI
versions.

4. **Updated Documentation**: Comprehensive documentation has been
updated to reflect these new changes, providing clear guidance on
utilizing the new features and ensuring seamless integration.

Thank you to the LangChain team for their exceptional work and for
considering this PR. Please let me know if any additional information is
needed.

---------

Co-authored-by: Shivani Modi <shivanimodi@Shivanis-MacBook-Pro.local>
Co-authored-by: Shivani Modi <shivanimodi@Shivanis-MBP.lan>
8 months ago
Facundo Santiago 92e6a641fd
feat: adding paygo api support for Azure ML / Azure AI Studio (#14560)
- **Description:** Introducing support for LLMs and Chat models running
in Azure AI studio and Azure ML using the new deployment mode
pay-as-you-go (model as a service).
- **Issue:** NA
- **Dependencies:** None.
- **Tag maintainer:** @prakharg-msft @gdyre 
- **Twitter handle:** @santiagofacundo

Examples added:
*
[docs/docs/integrations/llms/azure_ml.ipynb](https://github.com/santiagxf/langchain/blob/santiagxf/azureml-endpoints-paygo-community/docs/docs/integrations/chat/azureml_endpoint.ipynb)
*
[docs/docs/integrations/chat/azureml_chat_endpoint.ipynb](https://github.com/santiagxf/langchain/blob/santiagxf/azureml-endpoints-paygo-community/docs/docs/integrations/chat/azureml_chat_endpoint.ipynb)

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
8 months ago
baichuan-assistant 20fcd49348
community: Fix Baichuan Chat. (#15207)
- **Description:** Baichuan Chat (with both Baichuan-Turbo and
Baichuan-Turbo-192K models) has updated their APIs. There are breaking
changes. For example, BAICHUAN_SECRET_KEY is removed in the latest API
but is still required in Langchain. Baichuan's Langchain integration
needs to be updated to the latest version.
  - **Issue:** #15206
  - **Dependencies:** None,
  - **Twitter handle:** None

@hwchase17.

Co-authored-by: BaiChuanHelper <wintergyc@WinterGYCs-MacBook-Pro.local>
8 months ago
Guillem Orellana Trullols aad2aa7188
community[patch]: BedrockChat -> Support Titan express as chat model (#15408)
Titan Express model was not supported as a chat model because LangChain
messages were not "translated" to a text prompt.

Co-authored-by: Guillem Orellana Trullols <guillem.orellana_trullols@siemens.com>
8 months ago
Iskren Ivov Chernev fc196cab12
community[minor]: DeepInfra support for chat models (#16380)
Add deepinfra chat models support.

This is https://github.com/langchain-ai/langchain/pull/14234 re-opened
from my branch (so maintainers can edit).
8 months ago
Funkeke 7220124368
community[patch]: fix tongyi completion and params error (#15544)
fix tongyi completion json parse error and prompt's params error

---------

Co-authored-by: fangkeke <3339698829@qq.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
8 months ago
axiangcoding daa9ccae52
community[patch]: deprecate ErnieBotChat and ErnieEmbeddings classes (#15862)
- **Description:** add deprecated warning for ErnieBotChat and
ErnieEmbeddings.
- These two classes **lack maintenance** and do not use the sdk provided
by qianfan, which means hard to implement some key feature like
streaming.
- The alternative `langchain_community.chat_models.QianfanChatEndpoint`
and `langchain_community.embeddings.QianfanEmbeddingsEndpoint` can
completely replace these two classes, only need to change configuration
items.
  - **Issue:** None,
  - **Dependencies:** None,
  - **Twitter handle:** None

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>
8 months ago
Xin Liu 5efec068c9
feat: Implement `stream` interface (#15875)
<!-- Thank you for contributing to LangChain!

Please title your PR "<package>: <description>", where <package> is
whichever of langchain, community, core, experimental, etc. is being
modified.

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,
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!

Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` from the root
of the package you've modified to check this locally.

See contribution guidelines for more information on how to write/run
tests, lint, etc: https://python.langchain.com/docs/contributing/

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

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

Major changes:

- Rename `wasm_chat.py` to `llama_edge.py`
- Rename the `WasmChatService` class to `ChatService`
- Implement the `stream` interface for `ChatService`
- Add `test_chat_wasm_service_streaming` in the integration test
- Update `llama_edge.ipynb`

---------

Signed-off-by: Xin Liu <sam@secondstate.io>
9 months ago
Erick Friis 85a4594ed7
community[patch]: more deprecations (#15782) 9 months ago
NuODaniel 70b6315b23
community[patch]: fix qianfan chat stream calling caused exception (#13800)
- **Description:** 
`QianfanChatEndpoint` extends `BaseChatModel` as a super class, which
has a default stream implement might concat the MessageChunk with
`__add__`. When call stream(), a ValueError for duplicated key will be
raise.
  - **Issues:** 
     * #13546  
     * #13548
     * merge two single test file related to qianfan.
  - **Dependencies:** no
  - **Tag maintainer:**

---------

Co-authored-by: root <liujun45@baidu.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
9 months ago
Bagatur ee5bd986de
community[patch]: update oai deprecation message (#15681)
addresses #15674
9 months ago
Nuno Campos 7ce4cd0709
Do not issue beta or deprecation warnings on internal calls (#15641) 9 months ago
Nan LI 0b393315ce
community: Correct Input API Key Name in Notebook and Enhance Readability of Comments for ZhipuAI Chat Model (#15529)
- **Description:** This update rectifies an error in the notebook by
changing the input variable from `zhipu_api_key` to `api_key`. It also
includes revisions to comments to improve program readability.
- **Issue:** The input variable in the notebook example should be
`api_key` instead of `zhipu_api_key`.
- **Dependencies:** No additional dependencies are required for this
change.

To ensure quality and standards, we have performed extensive linting and
testing. Commands such as make format, make lint, and make test have
been run from the root of the modified package to ensure compliance with
LangChain's coding standards.
9 months ago
Kai 5d05df4bce
community: Fixed bug of "system message check" in chat_models/tongyi. (#15631)
- **Description:** This PR is to fix a bug of "system message check" in
langchain_community/ chat_models/tongyi.py
- **Issue:** In term of current logic, if there's no system message in
the chat messages, an error of "System message can only be the first
message." will be wrongly raised.
  - **Dependencies:** No.
  - **Twitter handle:** I don't have a Twitter account.
9 months ago
Erick Friis d136925c49
community[patch]: fix deprecation warnings on openai subclasses (#15621) 9 months ago
Bagatur c5226d7a18
docs: update cohere chat integration (#15562)
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
9 months ago
Erick Friis ebc75c5ca7
openai[minor]: implement langchain-openai package (#15503)
Todo

- [x] copy over integration tests
- [x] update docs with new instructions in #15513 
- [x] add linear ticket to bump core -> community, community->langchain,
and core->openai deps
- [ ] (optional): add `pip install langchain-openai` command to each
notebook using it
- [x] Update docstrings to not need `openai` install
- [x] Add serialization
- [x] deprecate old models

Contributor steps:

- [x] Add secret names to manual integrations workflow in
.github/workflows/_integration_test.yml
- [x] Add secrets to release workflow (for pre-release testing) in
.github/workflows/_release.yml

Maintainer steps (Contributors should not do these):

- [x] set up pypi and test pypi projects
- [x] add credential secrets to Github Actions
- [ ] add package to conda-forge


Functional changes to existing classes:

- now relies on openai client v1 (1.6.1) via concrete dep in
langchain-openai package

Codebase organization

- some function calling stuff moved to
`langchain_core.utils.function_calling` in order to be used in both
community and langchain-openai
9 months ago
Xin Liu 0a7d360ba4
feat: new integration `wasm_chat` (#14787)
<!-- 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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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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https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md

If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in `docs/extras`
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If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
 -->

Adds `WasmChat` integration. `WasmChat` runs GGUF models locally or via
chat service in lightweight and secure WebAssembly containers. In this
PR, `WasmChatService` is introduced as the first step of the
integration. `WasmChatService` is driven by
[llama-api-server](https://github.com/second-state/llama-utils) and
[WasmEdge Runtime](https://wasmedge.org/).

---------

Signed-off-by: Xin Liu <sam@secondstate.io>
9 months ago
chyroc 37ad6ec248
Refactor: use SecretStr for tongyi chat-model (#15102) 9 months ago
David dcf047c48f
add api_base to _client_params (community version of #14393) (#14644)
- **Description:** This PR adds `api_base` to `_client_params` in the
`chat_model` of LiteLLM to ensure it's included in API calls.
Previously, `api_base` was set on the client but was not included in the
parameters passed to the completion function. This change ensures that
`api_base` is correctly passed to all API calls.
  - **Issue:** #14338
  - **Tag maintainer:** @hwchase17 @agola11
  - **Twitter handle:** @LMS_David_RS
9 months ago
chyroc 32e6e9de13
Refactor: use SecretStr for palm chat-model (#15100) 9 months ago
chyroc b6952d41e5
Refactor: use SecretStr for GPTRouter chat-model (#15101) 9 months ago
Nan LI f506b4cfd2
community: Integration of New Chat Model Based on ChatGLM3 via ZhipuAI API (#15105)
- **Description:** 
- This PR introduces a significant enhancement to the LangChain project
by integrating a new chat model powered by the third-generation base
large model, ChatGLM3, via the zhipuai API.
- This advanced model supports functionalities like function calls, code
interpretation, and intelligent Agent capabilities.
- The additions include the chat model itself, comprehensive
documentation in the form of Python notebook docs, and thorough testing
with both unit and integrated tests.
- **Dependencies:** This update relies on the ZhipuAI package as a key
dependency.
- **Twitter handle:** If this PR receives spotlight attention, we would
be honored to receive a mention for our integration of the advanced
ChatGLM3 model via the ZhipuAI API. Kindly tag us at @kaiwu.

To ensure quality and standards, we have performed extensive linting and
testing. Commands such as make format, make lint, and make test have
been run from the root of the modified package to ensure compliance with
LangChain's coding standards.

TO DO: Continue refining and enhancing both the unit tests and
integrated tests.

---------

Co-authored-by: jing <jingguo92@gmail.com>
Co-authored-by: hyy1987 <779003812@qq.com>
Co-authored-by: jianchuanqi <qijianchuan@hotmail.com>
Co-authored-by: lirq <whuclarence@gmail.com>
Co-authored-by: whucalrence <81530213+whucalrence@users.noreply.github.com>
Co-authored-by: Jing Guo <48378126+JaneCrystall@users.noreply.github.com>
9 months ago
chyroc a4ae4bc361
feat: mask api_key for konko (#14010)
for https://github.com/langchain-ai/langchain/issues/12165
9 months ago
NuODaniel 7773943a51
community:qianfan endpoint support init params & remove useless params definietion (#15381)
- **Description:**
- support custom kwargs in object initialization. For instantance, QPS
differs from multiple object(chat/completion/embedding with diverse
models), for which global env is not a good choice for configuration.
  - **Issue:** no
  - **Dependencies:** no
  - **Twitter handle:** no

@baskaryan PTAL
9 months ago
Nuno Campos eb5e250188 Propagate context vars in all classes/methods
- Any direct usage of ThreadPoolExecutor or asyncio.run_in_executor needs manual handling of context vars
9 months ago
Shuai Liu 4b53440e70
Upgrades the Tongyi LLM and ChatTongyi Model (#14793)
- **Description:** fixes and upgrades for the Tongyi LLM and ChatTongyi
Model
      - Fixed typos; it should be `Tongyi`, not `OpenAI`.
- Fixed a bug in `stream_generate_with_retry`; it's a real stream
generator now.
- Fixed a bug in `validate_environment`; the `dashscope_api_key` should
be properly handled when set by environment variables or initialization
parameters.
- Changed the `dashscope` response to incremental output by setting the
parameter `incremental_output`, which eliminates the need for the
prefix-removal trick.
      - Removed some unused parameters, like `n`, `prefix_messages`.
      - Added `_stream` method.
- Added async methods support, such as `_astream`, `_agenerate`,
`_abatch`.
  - **Dependencies:** No new dependencies.
  - **Tag maintainer:** @hwchase17 

> PS: Some may be confused about the terms `dashscope`, `tongyi`, and
`Qwen`:
> - `dashscope`: A platform to deploy LLMs and provide APIs to invoke
the LLM.
> - `tongyi`: A brand name or overall term about Alibaba Cloud's LLM/AI.
> - `Qwen`: An LLM that is open-sourced and deployed in `dashscope`.
> 
> We use the `dashscope` SDK to interact with the `tongyi`-`Qwen` LLM.

---------

Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
9 months ago