131 Commits (d6e34f9ee5a4a1b1bca80e39eb45fd65cefb65c2)

Author	SHA1	Message	Date
Charlie Marsh	8f38b7a725	multiple: Remove unnecessary Ruff suppression comments (#21050) ... ## Summary I ran `ruff check --extend-select RUF100 -n` to identify `# noqa` comments that weren't having any effect in Ruff, and then `ruff check --extend-select RUF100 -n --fix` on select files to remove all of the unnecessary `# noqa: F401` violations. It's possible that these were needed at some point in the past, but they're not necessary in Ruff v0.1.15 (used by LangChain) or in the latest release. Co-authored-by: Erick Friis <erick@langchain.dev>	4 months ago
Leonid Ganeline	85094cbb3a	docs: community docstring updates (#21040) ... Added missed docstrings. Updated docstrings to consistent format.	4 months ago
Rodrigo Nogueira	90f19028e5	community[patch]: Add maritalk streaming (sync and async) (#19203) ... Co-authored-by: RosevalJr <rdmalajr@gmail.com> Co-authored-by: Roseval Donisete Malaquias Junior <roseval@maritaca.ai>	4 months ago
chyroc	3e241956d3	community[minor]: add coze chat model (#20770) ... add coze chat model, to call coze.com apis	4 months ago
Andrei Panferov	b3efa38cc0	community[patch]: GigaChat model selection fix (#20988) ... Fixed the error that the model name is never actually put into GigaChat request payload, always defaulting to `GigaChat-Lite`. With this fix, model selection through ```python import os from langchain.chat_models.gigachat import GigaChat chat = GigaChat( name="GigaChat-Pro", # <- HERE!!!!! ... ) ``` should actually work, as intended in [here](804390ba4b/libs/community/langchain_community/llms/gigachat.py (L36)). --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	4 months ago
Leonid Ganeline	dc7c06bc07	community[minor]: import fix (#20995) ... Issue: When the third-party package is not installed, whenever we need to `pip install <package>` the ImportError is raised. But sometimes, the `ValueError` or `ModuleNotFoundError` is raised. It is bad for consistency. Change: replaced the `ValueError` or `ModuleNotFoundError` with `ImportError` when we raise an error with the `pip install <package>` message. Note: Ideally, we replace all `try: import... except... raise ... `with helper functions like `import_aim` or just use the existing [langchain_core.utils.utils.guard_import](https://api.python.langchain.com/en/latest/utils/langchain_core.utils.utils.guard_import.html#langchain_core.utils.utils.guard_import) But it would be much bigger refactoring. @baskaryan Please, advice on this.	4 months ago
ccurme	481d3855dc	patch: remove usage of llm, chat model __call__ (#20788) ... - `llm(prompt)` -> `llm.invoke(prompt)` - `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`) - `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt, config={"callbacks": callbacks})` - `llm(prompt, **kwargs)` -> `llm.invoke(prompt, **kwargs)`	5 months ago
JeffKatzy	5ab3f9a995	community[patch]: standardize chat init args (#20844) ... Thank you for contributing to LangChain! community:perplexity[patch]: standardize init args updated pplx_api_key and request_timeout so that aliased to api_key, and timeout respectively. Added test that both continue to set the same underlying attributes. Related to [20085](https://github.com/langchain-ai/langchain/issues/20085) --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Nestor Qin	9111d3a636	community[patch]: Fix message formatting for Anthropic models on Amazon Bedrock (#20801) ... **Description:** This PR fixes an issue in message formatting function for Anthropic models on Amazon Bedrock. Currently, LangChain BedrockChat model will crash if it uses Anthropic models and the model return a message in the following type: - `AIMessageChunk` Moreover, when use BedrockChat with for building Agent, the following message types will trigger the same issue too: - `HumanMessageChunk` - `FunctionMessage` **Issue:** https://github.com/langchain-ai/langchain/issues/18831 **Dependencies:** No. **Testing:** Manually tested. The following code was failing before the patch and works after. ``` @tool def square_root(x: str): "Useful when you need to calculate the square root of a number" return math.sqrt(int(x)) llm = ChatBedrock( model_id="anthropic.claude-3-sonnet-20240229-v1:0", model_kwargs={ "temperature": 0.0 }, ) prompt = ChatPromptTemplate.from_messages( [ ("system", FUNCTION_CALL_PROMPT), ("human", "Question: {user_input}"), MessagesPlaceholder(variable_name="agent_scratchpad"), ] ) tools = [square_root] tools_string = format_tool_to_anthropic_function(square_root) agent = ( RunnablePassthrough.assign( user_input=lambda x: x['user_input'], agent_scratchpad=lambda x: format_to_openai_function_messages( x["intermediate_steps"] ) ) | prompt | llm | AnthropicFunctionsAgentOutputParser() ) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True, return_intermediate_steps=True) output = agent_executor.invoke({ "user_input": "What is the square root of 2?", "tools_string": tools_string, }) ``` List of messages returned from Bedrock: ``` <SystemMessage> content='You are a helpful assistant.' <HumanMessage> content='Question: What is the square root of 2?' <AIMessageChunk> content="Okay, let's calculate the square root of 2.<scratchpad>\nTo calculate the square root of a number, I can use the square_root tool:\n\n<function_calls>\n <invoke>\n <tool_name>square_root</tool_name>\n <parameters>\n <__arg1>2</__arg1>\n </parameters>\n </invoke>\n</function_calls>\n</scratchpad>\n\n<function_results>\n<search_result>\nThe square root of 2 is approximately 1.414213562373095\n</search_result>\n</function_results>\n\n<answer>\nThe square root of 2 is approximately 1.414213562373095\n</answer>" id='run-92363df7-eff6-4849-bbba-fa16a1b2988c'" <FunctionMessage> content='1.4142135623730951' name='square_root' ```	5 months ago
Congyu	dd5139e304	community[patch]: truncate zhipuai `temperature` and `top_p` parameters to [0.01, 0.99] (#20261) ... ZhipuAI API only accepts `temperature` parameter between `(0, 1)` open interval, and if `0` is passed, it responds with status code `400`. However, 0 and 1 is often accepted by other APIs, for example, OpenAI allows `[0, 2]` for temperature closed range. This PR truncates temperature parameter passed to `[0.01, 0.99]` to improve the compatibility between langchain's ecosystem's and ZhipuAI (e.g., ragas `evaluate` often generates temperature 0, which results in a lot of 400 invalid responses). The PR also truncates `top_p` parameter since it has the same restriction. Reference: [glm-4 doc](https://open.bigmodel.cn/dev/api#glm-4) (which unfortunately is in Chinese though). --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
zR	9c1d7f2405	update zhipuai notebook (#20595) ... fix timeout issue fix zhipuai usecase notebookbook Thank you for contributing to LangChain! - [ ] **PR title**: "package: description" - Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes. - Example: "community: add foobar LLM" - [ ] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** a description of the change - **Issue:** the issue # it fixes, if applicable - **Dependencies:** any dependencies required for this change - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out! - [ ] **Add tests and docs**: If you're adding a new integration, please include 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory. - [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
Erick Friis	e395115807	docs: aws docs updates (#20571)	5 months ago
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.	5 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>	5 months ago
Guangdong Liu	97d91ec17c	community[patch]: standardize baichuan init args (#20209) ... Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 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>	5 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>	5 months ago
Bagatur	5ae0e687b3	docs: use standard openai params (#20160) ... Part of #20085	5 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>	5 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>	5 months ago
Jialei	f7c903e24a	community[minor]: add support for Moonshot llm and chat model (#17100)	5 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>	5 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>	5 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>	5 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>	5 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):  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