113 Commits (a23c719c8b69e10f6658a28187561943c807b0ba)

Author	SHA1	Message	Date
Aditya	a23c719c8b	google-genai[minor]: add safety settings (#16836) ... Replace this entire comment with: - **Description:Expose safety_settings for Gemini integrations on google-generativeai - **Issue:NA, - **Dependencies:NA - **Twitter handle:@aditya_rane @lkuligin for review --------- Co-authored-by: adityarane@google.com <adityarane@google.com> Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	42648061ad	openai[patch]: code cleaning (#17355) ... h/t @tdene for finding cleanup op in #17047	7 months ago
Sandeep Banerjee	183daa6e6f	google-genai[patch]: on_llm_new_token fix (#16924) ... ### This pull request makes the following changes: * Fixed issue #16913 Fixed the google gen ai chat_models.py code to make sure that the callback is called before the token is yielded <!-- 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. --> --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	99540d3d75	infra: no print in newer partner packages (#17353) ... <!-- 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. -->	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	7 months ago
Charlie Marsh	24c0bab57b	infra, multiple: Upgrade configuration for Ruff v0.2.0 (#16905) ... ## Summary This PR upgrades LangChain's Ruff configuration in preparation for Ruff's v0.2.0 release. (The changes are compatible with Ruff v0.1.5, which LangChain uses today.) Specifically, we're now warning when linter-only options are specified under `[tool.ruff]` instead of `[tool.ruff.lint]`. --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Bagatur	01409add5a	google-vertexai[patch]: rm deps (#17077) ... Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	1c2facf88d	nvidia-ai-endpoints[patch]: release 0.0.3 (#17345)	7 months ago
Vadim Kudlay	5f9ac6986e	nvidia-ai-endpoints[patch]: model arguments (e.g. temperature) on construction bug (#17290) ... - **Issue:** Issue with model argument support (been there for a while actually): - Non-specially-handled arguments like temperature don't work when passed through constructor. - Such arguments DO work quite well with `bind`, but also do not abide by field requirements. - Since initial push, server-side error messages have gotten better and v0.0.2 raises better exceptions. So maybe it's better to let server-side handle such issues? - **Description:** - Removed ChatNVIDIA's argument fields in favor of `model_kwargs`/`model_kws` arguments which aggregates constructor kwargs (from constructor pathway) and merges them with call kwargs (bind pathway). - Shuffled a few functions from `_NVIDIAClient` to `ChatNVIDIA` to streamline construction for future integrations. - Minor/Optional: Old services didn't have stop support, so client-side stopping was implemented. Now do both. - **Any Breaking Changes:** Minor breaking changes if you strongly rely on chat_model.temperature, etc. This is captured by chat_model.model_kwargs. PR passes tests and example notebooks and example testing. Still gonna chat with some people, so leaving as draft for now. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	e660a1685b	google-genai[patch]: release 0.0.8 (#17285)	7 months ago
Erick Friis	febf9540b9	google-genai[patch]: fix tool format, use protos (#17284)	7 months ago
German Martin	1032faba5f	langchain_google_genai : Add missing _identifying_params property. (#17224) ... Description: Missing _identifying_params create issues when dealing with callbacks to get current run model parameters. All other model partners implementation provide this property and also provide _default_params. I'm not sure about the default values to include or if we can re-use the same as for _VertexAICommon(), this change allows you to access the model parameters correctly. Issue: Not exactly this issue but could be related https://github.com/langchain-ai/langchain/issues/14711 Twitter handle:@musicaoriginal2	7 months ago
Erick Friis	e4da7918f3	google-genai[patch]: fix streaming, function calling (#17268)	7 months ago
Ruben Hakopian	96b5711a0c	google-vertexai[patch]: Fixed SafetySettings handling in streaming API in VertexAI (#17278) ... The streaming API doesn't separate safety_settings from the generation_config payload. As the result the following error is observed when using `stream` API. The functionality is correct with `invoke` API. The fix separates the `safety_settings` from params and sets it as argument to the `send_message` method. ``` ERROR: Unknown field for GenerationConfig: safety_settings Traceback (most recent call last): File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 250, in stream raise e File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/langchain_core/language_models/chat_models.py", line 234, in stream for chunk in self._stream( File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/langchain_google_vertexai/chat_models.py", line 501, in _stream for response in responses: File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/vertexai/generative_models/_generative_models.py", line 921, in _send_message_streaming for chunk in stream: File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/vertexai/generative_models/_generative_models.py", line 514, in _generate_content_streaming request = self._prepare_request( ^^^^^^^^^^^^^^^^^^^^^^ File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/vertexai/generative_models/_generative_models.py", line 256, in _prepare_request gapic_generation_config = gapic_content_types.GenerationConfig( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/user/Library/Caches/pypoetry/virtualenvs/chatbot-worker-main-Ju-qIM-X-py3.12/lib/python3.12/site-packages/proto/message.py", line 576, in __init__ raise ValueError( ValueError: Unknown field for GenerationConfig: safety_settings ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Bagatur	02ef9164b5	langchain[patch]: expose cohere rerank score, add parent doc param (#16887)	7 months ago
Leonid Kuligin	1862900078	google-genai[patch]: added parsing of function call / response (#17245)	7 months ago
Sparsh Jain	a2167614b7	google-genai[patch]: Invoke callback prior to yielding token (#17092) ... - **Description:** Invoke callback prior to yielding token in stream and astream methods for Google-genai, - **Issue:** the issue # 16913, - **Twitter handle:** Sparsh10649446 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	7 months ago
hsuyuming	e22c4d4eb0	google-vertexai[patch]: fix _parse_response_candidate issue (#16647) ... **Description:** enable _parse_response_candidate to support complex structure format. **Issue:** currently, if Gemini response complex args format, people will get "TypeError: Object of type RepeatedComposite is not JSON serializable" error from _parse_response_candidate. response candidate example ``` content { role: "model" parts { function_call { name: "Information" args { fields { key: "people" value { list_value { values { string_value: "Joe is 30, his mom is Martha" } } } } } } } } finish_reason: STOP safety_ratings { category: HARM_CATEGORY_HARASSMENT probability: NEGLIGIBLE } safety_ratings { category: HARM_CATEGORY_HATE_SPEECH probability: NEGLIGIBLE } safety_ratings { category: HARM_CATEGORY_SEXUALLY_EXPLICIT probability: NEGLIGIBLE } safety_ratings { category: HARM_CATEGORY_DANGEROUS_CONTENT probability: NEGLIGIBLE } ``` error msg: ``` Traceback (most recent call last): File "/home/jupyter/user/abehsu/gemini_langchain_tools/example2.py", line 36, in <module> print(tagging_chain.invoke({"input": "Joe is 30, his mom is Martha"})) File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/runnables/base.py", line 2053, in invoke input = step.invoke( File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/runnables/base.py", line 3887, in invoke return self.bound.invoke( File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 165, in invoke self.generate_prompt( File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 543, in generate_prompt return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs) File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 407, in generate raise e File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 397, in generate self._generate_with_cache( File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_core/language_models/chat_models.py", line 576, in _generate_with_cache return self._generate( File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_google_vertexai/chat_models.py", line 406, in _generate generations = [ File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_google_vertexai/chat_models.py", line 408, in <listcomp> message=_parse_response_candidate(c), File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/site-packages/langchain_google_vertexai/chat_models.py", line 280, in _parse_response_candidate function_call["arguments"] = json.dumps( File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/json/__init__.py", line 231, in dumps return _default_encoder.encode(obj) File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/json/encoder.py", line 199, in encode chunks = self.iterencode(o, _one_shot=True) File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/json/encoder.py", line 257, in iterencode return _iterencode(o, 0) File "/opt/conda/envs/gemini_langchain_tools/lib/python3.10/json/encoder.py", line 179, in default raise TypeError(f'Object of type {o.__class__.__name__} ' TypeError: Object of type RepeatedComposite is not JSON serializable ``` **Twitter handle:** @abehsu1992626	7 months ago
Erick Friis	d77bb7b4e9	google-vertexai[patch]: integration test fix, release 0.0.5 (#17258)	7 months ago
Aditya	98176ac982	langchain_google_vertexai : added logic to override get_num_tokens_from_messages() for ChatVertexAI (#16784) ... <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description: added logic to override get_num_tokens_from_messages() for ChatVertexAI. Currently ChatVertexAI was inheriting get_num_tokens_from_messages() from BaseChatModel which in-turn was calling GPT-2 tokenizer - **Issue: NA - **Dependencies: NA - **Twitter handle:@aditya_rane @lkuligin for review --------- Co-authored-by: adityarane@google.com <adityarane@google.com> Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru>	7 months ago
Erick Friis	4153837502	google-genai[patch]: release 0.0.7 (#17193)	7 months ago
Erick Friis	927ab77d6e	google-genai[patch]: no error for FunctionMessage (#17215) ... Both should eventually match this: https://github.com/langchain-ai/langchain/blob/master/libs/partners/google-vertexai/langchain_google_vertexai/chat_models.py#L179 But seems undocumented / can't find types in genai package	7 months ago
Erick Friis	2ecf318218	google-genai[patch]: match function call interface (#17213) ... should match vertex	7 months ago
Erick Friis	e17173c403	google-vertexai[patch]: function calling integration test (#17209)	7 months ago
Erick Friis	52be84a603	google-vertexai[patch]: serializable citation metadata, release 0.0.4 (#17145) ... was breaking in langserve before	7 months ago
chyroc	f87b38a559	google-genai[minor]: support functions call (#15146) ... Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	3e58df43c2	mistralai[patch]: release 0.0.4 (#17139)	7 months ago
Erick Friis	f881a3330c	mistralai[patch]: 16k token batching logic embed (#17136)	7 months ago
Erick Friis	980e30c361	nvidia-ai-endpoints[patch]: release 0.0.2 (#17125)	7 months ago
Erick Friis	15bd1154a7	pinecone[patch]: integration test new namespace (#17121)	7 months ago
Mikhail Khludnev	14ff1438e6	nvidia-trt[patch]: propagate InferenceClientException to the caller. (#16936) ... - **Description:** before the change I've got 1. propagate InferenceClientException to the caller. 2. stop grpc receiver thread on exception ``` for token in result_queue: > result_str += token E TypeError: can only concatenate str (not "InferenceServerException") to str ../../langchain_nvidia_trt/llms.py:207: TypeError ``` And stream thread keeps running. after the change request thread stops correctly and caller got a root cause exception: ``` E tritonclient.utils.InferenceServerException: [request id: 4529729] expected number of inputs between 2 and 3 but got 10 inputs for model 'vllm_model' ../../langchain_nvidia_trt/llms.py:205: InferenceServerException ``` - **Issue:** the issue # it fixes if applicable, - **Dependencies:** any dependencies required for this change, - **Twitter handle:** [t.me/mkhl_spb](https://t.me/mkhl_spb) I'm not sure about test coverage. Should I setup deep mocks or there's a kind of triton stub via testcontainers or so.	7 months ago
Vadim Kudlay	75b6fa1134	nvidia-ai-endpoints[patch]: Support User-Agent metadata and minor fixes. (#16942) ... - **Description:** Several meta/usability updates, including User-Agent. - **Issue:** - User-Agent metadata for tracking connector engagement. @milesial please check and advise. - Better error messages. Tries harder to find a request ID. @milesial requested. - Client-side image resizing for multimodal models. Hope to upgrade to Assets API solution in around a month. - `client.payload_fn` allows you to modify payload before network request. Use-case shown in doc notebook for kosmos_2. - `client.last_inputs` put back in to allow for advanced support/debugging. - **Dependencies:** - Attempts to pull in PIL for image resizing. If not installed, prints out "please install" message, warns it might fail, and then tries without resizing. We are waiting on a more permanent solution. For LC viz: @hinthornw For NV viz: @fciannella @milesial @vinaybagade --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Erick Friis	6ffd5b15bc	pinecone: init pkg (#16556) ... <!-- 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. -->	7 months ago
Mikhail Khludnev	2145636f1d	Nvidia trt model name for stop_stream() (#16997) ... just removing some legacy leftover.	7 months ago
Erick Friis	849051102a	google-genai[patch]: fix new core typing (#16988)	7 months ago
Bagatur	35446c814e	openai[patch]: rm tiktoken model warning (#16964)	7 months ago
ccurme	0826d87ecd	langchain_mistralai[patch]: Invoke callback prior to yielding token (#16986) ... - **Description:** Invoke callback prior to yielding token in stream and astream methods for ChatMistralAI. - **Issue:** https://github.com/langchain-ai/langchain/issues/16913	7 months ago
Eugene Yurtsev	a265878d71	langchain_openai[patch]: Invoke callback prior to yielding token (#16909) ... All models should be calling the callback for new token prior to yielding the token. Not doing this can cause callbacks for downstream steps to be called prior to the callback for the new token; causing issues in astream_events APIs and other things that depend in callback ordering being correct. We need to make this change for all chat models.	7 months ago
Erick Friis	17e886388b	nomic: init pkg (#16853) ... Co-authored-by: Lance Martin <lance@langchain.dev>	8 months ago
Erick Friis	c37ca45825	nvidia-trt: remove tritonclient all extra dep (#16749)	8 months ago
Erick Friis	bb3b6bde33	openai[minor]: change to secretstr (#16803)	8 months ago
Erick Friis	a372b23675	robocorp: release 0.0.3 (#16789)	8 months ago
Rihards Gravis	442fa52b30	[partners]: langchain-robocorp ease dependency version (#16765)	8 months ago
Shay Ben Elazar	84ebfb5b9d	openai[patch]: Added annotations support to azure openai (#13704) ... - **Description:** Added Azure OpenAI Annotations (content filtering results) to ChatResult - **Issue:** 13090 - **Twitter handle:** ElazarShay Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Erick Friis	88e3129587	robocorp: release 0.0.2 (#16706)	8 months ago
Bagatur	5b5115c408	google-vertexai[patch]: streaming bug (#16603) ... Fixes errors seen here https://github.com/langchain-ai/langchain/actions/runs/7661680517/job/20881556592#step:9:229	8 months ago
Bagatur	bcc71d1a57	openai[patch]: Release 0.0.5 (#16598)	8 months ago
Bagatur	68f7468754	google-vertexai[patch]: Release 0.0.3 (#16597)	8 months ago
Bagatur	61e876aad8	openai[patch]: Explicitly support embedding dimensions (#16596)	8 months ago
Bagatur	75ad0bba2d	openai[patch]: Release 0.0.4 (#16590)	8 months ago