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Author	SHA1	Message	Date
Rihards Gravis	9e017ff6ba	docs[patch]: Reduce largest static image file size (#13508) ... - **Description:** Reduce image asset file size used in documentation by running them via lossless image optimization ([tinypng](https://www.npmjs.com/package/tinypng-cli) was used in this case). Images wider than 1916px (the maximum width of an image displayed in documentation) where downsized. - **Issue:** No issue is created for this, but the large image file assets caused slow documentation load times - **Dependencies:** No dependencies affected	7 months ago
Nuno Campos	e0bcc98436	infra[patch]: Use langchain core in-tree as a dev dependency (#13957) ... Using the published version means master is broken for contributors whenever we make changes in one lib that depend on the other.	7 months ago
unifyh	2703a1b061	Fix `MarkdownHeaderTextSplitter` not recognizing tilde-fenced code blocks (#13511) ... - **Description:** Previously `MarkdownHeaderTextSplitter` did not consider tilde-fenced code blocks (https://spec.commonmark.org/0.30/#fenced-code-blocks). This PR fixes that. ````md # Bug caused by previous implementation: ~~~py foo() # This is a comment that would be considered header bar() ~~~ ```` - **Tag maintainer:** @baskaryan	7 months ago
Leonid Ganeline	7929b26017	office365 toolkit bug fixes (#13618) ... Several bug fixes: - emails: instead of `bcc` the `cc` is used. - errors in the truncation descriptions - no truncation of the `message_search` Several updates: - generalized UTC format - truncation limit can be changed now in _call()	7 months ago
William FH	60309341bd	Eval Error Key (#13974)	7 months ago
Erick Friis	f9bef600f1	RELEASE: core 0.0.7 (#13973)	7 months ago
Nicolas Bondoux	e17edc4d0b	RunnableLambda: create afunc instance from func when not provided (#13408) ... Fixes #13407. This workaround consists in letting the RunnableLambda create its self.afunc from its self.func when self.afunc is not provided; the change has no dependency. <!-- 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, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **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` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: 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` 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> Co-authored-by: Nuno Campos <nuno@langchain.dev>	7 months ago
Nuno Campos	391f200eaa	Implement stream() and astream() for agents (#12783) ... ``` ---- chunk 1 {'actions': [AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]} ---- chunk 2 {'messages': [FunctionMessage(content="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”", name='Search')], 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), observation="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”")]} ---- chunk 3 {'actions': [AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]} ---- chunk 4 {'messages': [FunctionMessage(content='25 years', name='Search')], 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]), observation='25 years')]} ---- chunk 5 {'actions': [AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})]} ---- chunk 6 {'messages': [FunctionMessage(content='Answer: 3.991298452658078', name='Calculator')], 'steps': [AgentStep(action=AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})]), observation='Answer: 3.991298452658078')]} ---- chunk 7 {'messages': [AIMessage(content="Leonardo DiCaprio's current girlfriend is the Italian model Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 power is approximately 3.99.")], 'output': "Leonardo DiCaprio's current girlfriend is the Italian model " 'Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 ' 'power is approximately 3.99.'} ---- final {'actions': [AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]), AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}}), FunctionMessage(content="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”", name='Search'), AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}}), FunctionMessage(content='25 years', name='Search'), AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}}), FunctionMessage(content='Answer: 3.991298452658078', name='Calculator'), AIMessage(content="Leonardo DiCaprio's current girlfriend is the Italian model Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 power is approximately 3.99.")], 'output': "Leonardo DiCaprio's current girlfriend is the Italian model " 'Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 ' 'power is approximately 3.99.', 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), observation="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”"), AgentStep(action=AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]), observation='25 years'), AgentStep(action=AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})]), observation='Answer: 3.991298452658078')]} ```	7 months ago
Michael Feil	686162670e	langchain[minor]: Adding `infinity` embedding integration. (#13928) ... This adds integation to https://github.com/michaelfeil/infinity. Users requested it in https://github.com/michaelfeil/infinity/issues/36 @saatvikshah Follows my implementation of gradient.ai. Feedback 1: Well done - I love your CI / repo / poetry setup - I adapted a lot in https://github.com/michaelfeil/infinity. Feedback 2: Not so good: The openai integration contains to much reverse engineering - in general projects such as michaelfeil/infinity and huggingface/text-embeddings-inference are compatible to the `pip install openai` package. Reverse engineering like this one is really hindering the use for me: 8e88ba16a8/libs/langchain/langchain/embeddings/openai.py (L347) 8e88ba16a8/libs/langchain/langchain/embeddings/openai.py (L351) - it is about preventing 3rd party providers to use the same url + uses interfaces of openai, that are not publically documented.	7 months ago
Bagatur	10a6e7cbb6	langchain[patch], core[patch]: Make common utils public (#13932) ... - rename `langchain_core.chat_models.base._generate_from_stream` -> `generate_from_stream` - rename `langchain_core.chat_models.base._agenerate_from_stream` -> `agenerate_from_stream` - export `langchain_core.utils.utils.build_extra_kwargs` from `langchain_core.utils`	7 months ago
Oleksandr Yaremchuk	c0277d06e8	experimental[patch] Update prompt injection model (#13930) ... - **Description:** Existing model used for Prompt Injection is quite outdated but we fine-tuned and open-source a new model based on the same model deberta-v3-base from Microsoft - [laiyer/deberta-v3-base-prompt-injection](https://huggingface.co/laiyer/deberta-v3-base-prompt-injection). It supports more up-to-date injections and less prone to false-positives. - **Dependencies:** No - **Tag maintainer:** - - **Twitter handle:** @alex_yaremchuk --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Bob Lin	e6ebde9688	experimental[patch]: Add experimental.agent imports (#13839) ... - **Description:** The experimental package needs to be compatible with the usage of importing agents For example, if i use `from langchain.agents import create_pandas_dataframe_agent`, running the program will prompt the following information: ``` Traceback (most recent call last): File "/Users/dongwm/test/main.py", line 1, in <module> from langchain.agents import create_pandas_dataframe_agent File "/Users/dongwm/test/venv/lib/python3.11/site-packages/langchain/agents/__init__.py", line 87, in __getattr__ raise ImportError( ImportError: create_pandas_dataframe_agent has been moved to langchain experimental. See https://github.com/langchain-ai/langchain/discussions/11680 for more information. Please update your import statement from: `langchain.agents.create_pandas_dataframe_agent` to `langchain_experimental.agents.create_pandas_dataframe_agent`. ``` But when I changed to `from langchain_experimental.agents import create_pandas_dataframe_agent`, it was actually wrong: ```python Traceback (most recent call last): File "/Users/dongwm/test/main.py", line 2, in <module> from langchain_experimental.agents import create_pandas_dataframe_agent ImportError: cannot import name 'create_pandas_dataframe_agent' from 'langchain_experimental.agents' (/Users/dongwm/test/venv/lib/python3.11/site-packages/langchain_experimental/agents/__init__.py) ``` I should use `from langchain_experimental.agents.agent_toolkits import create_pandas_dataframe_agent`. In order to solve the problem and make it compatible, I added additional import code to the langchain_experimental package. Now it can be like this Used `from langchain_experimental.agents import create_pandas_dataframe_agent` - **Twitter handle:** [lin_bob57617](https://twitter.com/lin_bob57617)	7 months ago
Tyler Titsworth	afcfa2a5e7	langchain[patch]: Add progress bar option to OllamaEmbeddings (#13882) ... - **Description:** Adds a tqdm progress bar to OllamaEmbeddings when embedding a list. - **Issue:** Related to #13637, but extended to Ollama. - **Dependencies:** `tqdm` made a necessary dependency. Thanks to @ugm2 for helping identify a common problem. Embeddings take a very long time to finish on local machines, and require a progress bar to help identify if one should even attempt the workload. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Kalyan	ec53d983a1	TEMPLATES Add rag-opensearch template (#13501) ... <!-- 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, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **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` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: 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` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> Adding rag-opensearch template. --------- Signed-off-by: kalyanr <kalyan.ben10@live.com> Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Leonid Ganeline	e47b9c5285	DOCS: move `adapters` to integrations (#13862) ... Current docs for adapters are in the `Guides/Adapters which is not a good place. - moved Adapters into `Integratons/Components/Adapters/ - simplified the OpenAI adapter notebook - rerouted the old OpenAI adapter page URL to a new one.	7 months ago
jeremyb-data	cd77fba562	Improvement: Weaviate multitenant adddocs (#13827) ... <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** Added a line to pass the tenant parameter to add_data_object - **Issue:** An extra line added from the fix for #9956 - **Dependencies:** n/a - **Tag maintainer:** @baskaryan Tested locally, works as expected with the line change. --------- Co-authored-by: Simon Dai <simon6752@gmail.com>	7 months ago
jiangying	3e30cd8261	NIT: comment typo (#13817)	7 months ago
Manuel Riezebosch	92b07ecaf3	DOCS: fix link to question answering (#13806) ... first link in [overview](https://python.langchain.com/docs/use_cases/question_answering/code_understanding#overview)	7 months ago
Assaf Toledo	ba62ff89cc	BUGFIX: Support for elastic indices that don't return 'metadata' in '_source' (#13903) ... Description: Some Elastic indexes do not return a 'metadata' field in '_source'. However, prior to this PR, the code assumed there always is a 'metadata' field. This PR adds support for cases where the field is missing by adding it manually. Issue: #13869	7 months ago
Enric Soler Rastrollo	c156d0281a	BUGFIX: Use embedding key in azure_cosmos_db index creation (#13919) ... Description: Implement embedding key parametrisation Issue: https://github.com/langchain-ai/langchain/issues/13918 Dependencies: None Tag maintainer: @hwchase17 @izzymsft Twitter handle:@MaddogoS	7 months ago
Bagatur	ac67422a3d	IMPROVEMENT: import Document from core (#13905)	7 months ago
chyroc	886bc2d50a	IMPROVEMENT: fix qianfan validate_environment typo (#13908)	7 months ago
Chengzu Ou	4b8e053fe8	FEATURE: Add Databricks Vector Search as a new vector store (#13621) ... **Description:** This PR adds Databricks Vector Search as a new vector store in LangChain. - [x] Add `DatabricksVectorSearch` in `langchain/vectorstores/` - [x] Unit tests - [x] Add [`databricks-vectorsearch`](https://pypi.org/project/databricks-vectorsearch/) as a new optional dependency We ran the following checks: - `make format` passed ✅ - `make lint` failed but the failures were caused by other files + Files touched by this PR passed the linter ✅ - `make test` passed ✅ - `make coverage` failed but the failures were caused by other files. Tests added by or related to this PR all passed + langchain/vectorstores/databricks_vector_search.py test coverage 94% ✅ - `make spell_check` passed ✅ The example notebook and updates to the [provider's documentation page](https://github.com/langchain-ai/langchain/blob/master/docs/docs/integrations/providers/databricks.md) will be added later in a separate PR. **Dependencies:** Optional dependency: [`databricks-vectorsearch`](https://pypi.org/project/databricks-vectorsearch/) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Leonid Kuligin	25387db432	BUFIX: add support for various OSS images from Vertex Model Garden (#13917) ... - **Description:** add support for various OSS images from Model Garden - **Issue:** #13370	7 months ago
Eugene Yurtsev	e186637921	Document Runnable Binding (#13927) ... Document runnable binding	7 months ago
Bagatur	46b3311190	RELEASE: 0.0.341 (#13926)	7 months ago
Nuno Campos	f6b05cacd0	Update root poetry lock with core (#13922) ... <!-- 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, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **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` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: 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` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	7 months ago
umair mehmood	b3e08f9239	improvement: fix chat prompt loading from config (#13818) ... Add loader for loading chat prompt from config file. fixed: #13667 @efriis @baskaryan	7 months ago
Nuno Campos	8a3e0c9afa	Add option to prefix config keys in configurable_alts (#13714)	7 months ago
Tomaz Bratanic	4ce5254442	Add Cypher template diagrams (#13913)	7 months ago
Taqi Jaffri	bfc12a4a76	DOCS: Simplified Docugami cookbook to remove code now available in docugami library (#13828) ... The cookbook had some code to upload files, and wait for the processing to finish. This code is now moved to the `docugami` library so removing from the cookbook to simplify. Thanks @rlancemartin for suggesting this when working on evals. --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>	7 months ago
ggeutzzang	3749af79ae	DOCS: fixed error in the docstring of RunnablePassthrough class (#13843) ... This pull request addresses an issue found in the example code within the docstring of `libs/core/langchain_core/runnables/passthrough.py` The original code snippet caused a `NameError` due to the missing import of `RunnableLambda`. The error was as follows: ``` 12 return "completion" 13 ---> 14 chain = RunnableLambda(fake_llm) | { 15 'original': RunnablePassthrough(), # Original LLM output 16 'parsed': lambda text: text[::-1] # Parsing logic NameError: name 'RunnableLambda' is not defined ``` To resolve this, I have modified the example code to include the necessary import statement for `RunnableLambda`. Additionally, I have adjusted the indentation in the code snippet to ensure consistency and readability. The modified code now successfully defines and utilizes `RunnableLambda`, ensuring that users referencing the docstring will have a functional and clear example to follow. There are no related GitHub issues for this particular change. Modified Code: ```python from langchain_core.runnables import RunnablePassthrough, RunnableParallel from langchain_core.runnables import RunnableLambda runnable = RunnableParallel( origin=RunnablePassthrough(), modified=lambda x: x+1 ) runnable.invoke(1) # {'origin': 1, 'modified': 2} def fake_llm(prompt: str) -> str: # Fake LLM for the example return "completion" chain = RunnableLambda(fake_llm) | { 'original': RunnablePassthrough(), # Original LLM output 'parsed': lambda text: text[::-1] # Parsing logic } chain.invoke('hello') # {'original': 'completion', 'parsed': 'noitelpmoc'} ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Dylan Williams	1983a39894	FEATURE: Add OneNote document loader (#13841) ... - **Description:** Added OneNote document loader - **Issue:** #12125 - **Dependencies:** msal Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Ikko Eltociear Ashimine	ff7d4d9c0b	Update llamacpp.ipynb (#13840) ... specifed -> specified	7 months ago
Tomaz Bratanic	1ad65f7a98	BUGFIX: Fix bugs with Cypher validation (#13849) ... Fixes https://github.com/langchain-ai/langchain/issues/13803. Thanks to @sakusaku-rich	7 months ago
Sᴜᴘᴇʀ Lᴇᴇ	e42e95cc11	docs: fix link to `local_retrieval_qa` (#13872) ... \The original link in [this section](https://python.langchain.com/docs/use_cases/question_answering/#:~:text=locally%2Drunning%20models-,here,-.): https://python.langchain.com/docs/modules/use_cases/question_answering/local_retrieval_qa After fix: https://python.langchain.com/docs/use_cases/question_answering/local_retrieval_qa	7 months ago
Harrison Chase	6a35831128	BUGFIX: export more types (#13886) ... Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Yusuf Khan	935f78c944	FEATURE: Add retriever for Outline (#13889) ... - **Description:** Added a retriever for the Outline API to ask questions on knowledge base - **Issue:** resolves #11814 - **Dependencies:** None - **Tag maintainer:** @baskaryan	7 months ago
ggeutzzang	f2af82058f	DOCS: Fix Sample Code for Compatibility with Pydantic 2.0 (#13890) ... - **Description:** I encountered an issue while running the existing sample code on the page https://python.langchain.com/docs/modules/agents/how_to/agent_iter in an environment with Pydantic 2.0 installed. The following error was triggered: ```python ValidationError Traceback (most recent call last) <ipython-input-12-2ffff2c87e76> in <cell line: 43>() 41 42 tools = [ ---> 43 Tool( 44 name="GetPrime", 45 func=get_prime, 2 frames /usr/local/lib/python3.10/dist-packages/pydantic/v1/main.py in __init__(__pydantic_self__, **data) 339 values, fields_set, validation_error = validate_model(__pydantic_self__.__class__, data) 340 if validation_error: --> 341 raise validation_error 342 try: 343 object_setattr(__pydantic_self__, '__dict__', values) ValidationError: 1 validation error for Tool args_schema subclass of BaseModel expected (type=type_error.subclass; expected_class=BaseModel) ``` I have made modifications to the example code to ensure it functions correctly in environments with Pydantic 2.0.	7 months ago
Harrison Chase	968ba6961f	add skeleton of thought (#13883)	7 months ago
Bagatur	0efa59cbb8	RELEASE: 0.0.339rc3 (#13852)	7 months ago
Bagatur	7222c42077	RELEASE: core 0.0.6 (#13853)	7 months ago
raelix	c172605ea6	IMPROVEMENT: Added title metadata to GoogleDriveLoader for optional File Loaders (#13832) ... - **Description:** Simple change, I just added title metadata to GoogleDriveLoader for optional File Loaders - **Dependencies:** no dependencies - **Tag maintainer:** @hwchase17 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Stefano Lottini	19c68c7652	FEATURE: Astra DB, LLM cache classes (exact-match and semantic cache) (#13834) ... This PR provides idiomatic implementations for the exact-match and the semantic LLM caches using Astra DB as backend through the database's HTTP JSON API. These caches require the `astrapy` library as dependency. Comes with integration tests and example usage in the `llm_cache.ipynb` in the docs. @baskaryan this is the Astra DB counterpart for the Cassandra classes you merged some time ago, tagging you for your familiarity with the topic. Thank you! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Stefano Lottini	272df9dcae	Astra DB, chat message history (#13836) ... This PR adds a chat message history component that uses Astra DB for persistence through the JSON API. The `astrapy` package is required for this class to work. I have added tests and a small notebook, and updated the relevant references in the other docs pages. (@rlancemartin this is the counterpart of the Cassandra equivalent class you so helpfully reviewed back at the end of June) Thank you!	7 months ago
Bagatur	58f7e109ac	BUGFIX: Add import types and typevars from core (#13829)	7 months ago
Bagatur	751226e067	bump 0.0.339rc2 (#13787)	7 months ago
Bagatur	300ff01824	RELEASE: core 0.0.5 (#13786)	7 months ago
Bagatur	bcf83988ec	Revert "INFRA: temp rm master condition (#13753)" (#13759)	8 months ago
Bagatur	df471b0c0b	INFRA: temp rm master condition (#13753)	8 months ago