15 Commits (29e04454903a9a0f1210ac6e78ee8b8e0aa2ac45)

Author	SHA1	Message	Date
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	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
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	7 months ago
James Braza	0785432e7b	langchain-google-vertexai: perserving grounding metadata (#16309) ... Revival of https://github.com/langchain-ai/langchain/pull/14549 that closes https://github.com/langchain-ai/langchain/issues/14548.	7 months ago
James Braza	643fb3ab50	langchain-google-vertexai[patch]: more verbose mypy config (#16307) ... Flushing out the `mypy` config in `langchain-google-vertexai` to show error codes and other warnings This PR also bumps `mypy` to above version 1's stable release	7 months ago
Erick Friis	0e76d84137	google-vertexai[patch]: more integration test fixes (#16234)	7 months ago
Harrison Chase	f60f59d69f	google-vertexai[patch]: Harrison/vertex function calling (#16223) ... Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Rajesh Thallam	6bc6d64a12	langchain_google_vertexai[patch]: Add support for SystemMessage for Gemini chat model (#15933) ... - **Description:** In Google Vertex AI, Gemini Chat models currently doesn't have a support for SystemMessage. This PR adds support for it only if a user provides additional convert_system_message_to_human flag during model initialization (in this case, SystemMessage would be prepended to the first HumanMessage). **NOTE:** The implementation is similar to #14824 - **Twitter handle:** rajesh_thallam --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Eugene Zapolsky	6b9e3ed9e9	google-vertexai[minor]: added safety_settings property to gemini wrapper (#15344) ... **Description:** Gemini model has quite annoying default safety_settings settings. In addition, current VertexAI class doesn't provide a property to override such settings. So, this PR aims to - add safety_settings property to VertexAI - fix issue with incorrect LLM output parsing when LLM responds with appropriate 'blocked' response - fix issue with incorrect parsing LLM output when Gemini API blocks prompt itself as inappropriate - add safety_settings related tests I'm not enough familiar with langchain code base and guidelines. So, any comments and/or suggestions are very welcome. **Issue:** it will likely fix #14841 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Leonid Kuligin	58f0ba306b	changed default params for gemini (#16044) ... Replace this entire comment with: - **Description:** changed default values for Vertex LLMs (to be handled on the SDK's side)	7 months ago
Leonid Kuligin	4df14a61fc	google-vertexai[minor]: add function calling on VertexAI (#15822) ... Replace this entire comment with: - **Description:** Description: added support for tools on VertexAI - **Issue:** #15073 - **Twitter handle:** lkuligin --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Leonid Kuligin	f73bf4ee54	google-vertexai: added langchain_google_vertexai package (#15218) ... added langchain_google_vertexai package --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago