2125 Commits (5b1f9c6d3a095b1b11abd6fc9a94424fda4c07c7)

Author	SHA1	Message	Date
William FH	1deb8cadd5	Add dataset version info (#18299)	7 months ago
Bagatur	0d7fb5f60a	langchain[patch]: langchain-text-splitters dep (#18357)	7 months ago
Bagatur	5efb5c099f	text-splitters[minor], langchain[minor], community[patch], templates, docs: langchain-text-splitters 0.0.1 (#18346)	7 months ago
Hasan	15d1b73a00	Add optional output_parser param in create_react_agent (#18320) ... **Description:** Add facility to pass the optional output parser to customize the parsing logic --------- Co-authored-by: hasan <hasan@m2sys.com> Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Bagatur	a6f0506aaf	docs: query analysis use case (#17766) ... Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	7 months ago
William FH	8af4425abd	[Evaluation] Config Fix (#18231)	7 months ago
William De Vena	23722e3653	langchain[patch]: Invoke callback prior to yielding token (#18282) ... ## PR title langchain[patch]: Invoke callback prior to yielding ## PR message Description: Invoke on_llm_new_token callback prior to yielding token in _stream and _astream methods in langchain/tests/fake_chat_model. Issue: https://github.com/langchain-ai/langchain/issues/16913 Dependencies: None Twitter handle: None	7 months ago
Harrison Chase	d7c607ca00	core[minor]: move document compressor base (#17910)	7 months ago
Bagatur	1e8ab83d7b	langchain[patch], core[patch], openai[patch], fireworks[minor]: ChatFireworks.with_structured_output (#18078) ... <img width="1192" alt="Screenshot 2024-02-24 at 3 39 39 PM" src="https://github.com/langchain-ai/langchain/assets/22008038/1cf74774-a23f-4b06-9b9b-85dfa2f75b63">	7 months ago
Luan Fernandes	e867557936	[docs] Update doc-string for buffer_as_messages method in ConversationBufferWindowMemory (#18136) ... minor fix stated in #18080	7 months ago
Bagatur	767523f364	core[patch], langchain[patch], templates: move openai functions parsers to core (#18060) ... 	7 months ago
Nuno Campos	b1d9ce541d	Add BaseMessage.id (#17835) ... 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.	7 months ago
Harrison Chase	935aefa8db	add run name for query constructor (#18101) ... Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	7 months ago
Mohammad Mohtashim	719a1cde75	langchain[patch]: Update doc-string for a method in ConversationBufferWindowMemory (#18090) ... A minor doc fix stated in #18080	7 months ago
Simon Schmidt	2716d58603	langchain: Import from langchain_core in langchain.smith to avoid deprecation warning (#18129) ... Avoids deprecation warning that triggered at import time, e.g. with `python -c 'import langchain.smith'` /opt/venv/lib/python3.12/site-packages/langchain/callbacks/__init__.py:37: LangChainDeprecationWarning: Importing this callback from langchain is deprecated. Importing it from langchain will no longer be supported as of langchain==0.2.0. Please import from langchain-community instead: `from langchain_community.callbacks import base`. To install langchain-community run `pip install -U langchain-community`.	7 months ago
Neli Hateva	a01e8473f8	community[patch]: Fix GraphSparqlQAChain so that it works with Ontotext GraphDB (#15009) ... - **Description:** Introduce a new parameter `graph_kwargs` to `RdfGraph` - parameters used to initialize the `rdflib.Graph` if `query_endpoint` is set. Also, do not set `rdflib.graph.DATASET_DEFAULT_GRAPH_ID` as default value for the `rdflib.Graph` `identifier` if `query_endpoint` is set. - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** N/A	7 months ago
dokato	5afb242161	langchain[patch]: Make BooleanOutputParser more robust to non-binary responses (#17810) ... - **Description:** I encountered this error when I tried to use LLMChainFilter. Even if the message slightly differs, like `Not relevant (NO)` this results in an error. It has been reported already here: https://github.com/langchain-ai/langchain/issues/. This change hopefully makes it more robust. - **Issue:** #11408 - **Dependencies:** No - **Twitter handle:** dokatox	7 months ago
Bagatur	d9e6ca2279	lanchain[patch]: Release 0.1.9 (#17999)	7 months ago
Reid Falconer	0534ba5a7d	langchain[patch]: return formatted SPARQL query on demand (#11263) ... - **Description:** Added the `return_sparql_query` feature to the `GraphSparqlQAChain` class, allowing users to get the formatted SPARQL query along with the chain's result. - **Issue:** NA - **Dependencies:** None Note: I've ensured that the PR passes linting and testing by running make format, make lint, and make test locally. I have added a test for the integration (which relies on network access) and I have added an example to the notebook showing its use.	7 months ago
Bagatur	b0cfb86c48	langchain[minor]: openai tools structured_output_chain (#17296) ... Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	7 months ago
Bagatur	b5f8cf9509	core[minor], openai[minor], langchain[patch]: BaseLanguageModel.with_structured_output #17302) ... ```python class Foo(BaseModel): bar: str structured_llm = ChatOpenAI().with_structured_output(Foo) ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	7 months ago
Christophe Bornet	4f88a5130e	langchain[patch]: Support langchain-astradb AstraDBVectorStore in self-query retriever (#17728) ... Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Leonid Ganeline	ed0b7c3b72	docs: added `community` modules descriptions (#17827) ... API Reference: Several `community` modules (like [adapter](https://api.python.langchain.com/en/latest/community_api_reference.html#module-langchain_community.adapters) module) are missing descriptions. It happens when langchain was split to the core, langchain and community packages. - Copied module descriptions from other packages - Fixed several descriptions to the consistent format.	7 months ago
Zachary Toliver	29ee0496b6	community[patch]: Allow override of 'fetch_schema_from_transport' in the GraphQL tool (#17649) ... - **Description:** In order to override the bool value of "fetch_schema_from_transport" in the GraphQLAPIWrapper, a "fetch_schema_from_transport" value needed to be added to the "_EXTRA_OPTIONAL_TOOLS" dictionary in load_tools in the "graphql" key. The parameter "fetch_schema_from_transport" must also be passed in to the GraphQLAPIWrapper to allow reading of the value when creating the client. Passing as an optional parameter is probably best to avoid breaking changes. This change is necessary to support GraphQL instances that do not support fetching schema, such as TigerGraph. More info here: [TigerGraph GraphQL Schema Docs](https://docs.tigergraph.com/graphql/current/schema) - **Threads handle:** @zacharytoliver --------- Co-authored-by: Zachary Toliver <zt10191991@hotmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	7 months ago
Nuno Campos	223e5eff14	Add JSON representation of runnable graph to serialized representation (#17745) ... Sent to LangSmith Thank you for contributing to LangChain! Checklist: - [ ] PR title: Please title your PR "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 template message** and replace it with the following bulleted list - **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! - [ ] Pass lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified to check that you're passing lint and testing. See contribution guidelines for more information on how to write/run tests, lint, etc: https://python.langchain.com/docs/contributing/ - [ ] 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. 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.	7 months ago
Nuno Campos	07ee41d284	Cache calls to create_model for get_input_schema and get_output_schema (#17755) ... 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.	7 months ago
Bagatur	da7bca2178	langchain[patch]: bump community to 0.0.21 (#17754)	7 months ago
Bagatur	441448372d	langchain[patch]: Release 0.1.8 (#17751)	7 months ago
William FH	64743dea14	core[patch], community[patch], langchain[patch], experimental[patch], robocorp[patch]: bump LangSmith 0.1.* (#17567)	8 months ago
Christophe Bornet	387cacb881	community[minor]: Add async methods to AstraDBChatMessageHistory (#17572)	8 months ago
Mo Latif	f3e4a0e27f	langchain[patch]: Update Chain prep_inputs docstring (#17575) ... **Description**: @eyurtsev Following up on #16644 to fix the docstring, because `prep_inputs` is not longer doing any validation.	8 months ago
William FH	fc1617c44f	Update contact link (#17563)	8 months ago
Christophe Bornet	ca2d4078f3	community: Add async methods to AstraDBCache (#17415) ... Adds async methods to AstraDBCache	8 months ago
Rakib Hosen	5ce1827d31	community[patch]: fix import in language parser (#17538) ... - **Description:** Resolving import error in language_parser.py during "from langchain.langchain.text_splitter import Language - **Issue:** the issue #17536 - **Dependencies:** NO - **Twitter handle:** @iRakibHosen --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
shibuiwilliam	c502736841	infra: add test for ensemble retriever to ensure multiple retrievers (#8401) ... Add tests to ensemble retriever to ensure it works with combination of multiple retrievers --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Mo Latif	50b48a8e6a	langchain[patch]: Invoke chain prep_inputs and prep_outputs inside try block to catch validation errors (#16644) ... - **Description:** Callback manager can't catch chain input or output validation errors because `prepare_input` and `prepare_output` are not part of the try/raise logic, this PR fixes that logic. - **Issue:** #15954	8 months ago
Christophe Bornet	a8f530bc4d	Add async methods to CacheBackedEmbeddings (#16873) ... Adds async methods to CacheBackedEmbeddings	8 months ago
Bagatur	50de7a31f0	langchain[patch]: structured output chain nits (#17291)	8 months ago
JongRok BAEK	8d6cc90fc5	langchain.core : Use shallow copy for schema manipulation in JsonOutputParser.get_format_instructions (#17162) ... - **Description :** Fix: Use shallow copy for schema manipulation in get_format_instructions Prevents side effects on the original schema object by using a dictionary comprehension for a safer and more controlled manipulation of schema key-value pairs, enhancing code reliability. - **Issue:** #17161 - **Dependencies:** None - **Twitter handle:** None	8 months ago
Bagatur	de7c4b277c	langchain[patch]: Release 0.1.7 (#17482)	8 months ago
Wendy H. Chun	2df7387c91	langchain[patch]: Fix to avoid infinite loop during collapse chain in map reduce (#16253) ... - **Description:** Depending on `token_max` used in `load_summarize_chain`, it could cause an infinite loop when documents cannot collapse under `token_max`. This change would not affect the existing feature, but it also gives an option to users to avoid the situation. - **Issue:** https://github.com/langchain-ai/langchain/issues/16251 - **Dependencies:** None - **Twitter handle:** None --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Taha Khabouss	15baffc484	langchain[patch]: Ensure that the Elasticsearch Query Translator functions accurately w… (#17044) ... Description: Addresses a problem where the Date type within an Elasticsearch SelfQueryRetriever would encounter difficulties in generating a valid query. Issue: #17042 --------- Co-authored-by: Max Jakob <max.jakob@elastic.co> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Bagatur	3925071dd6	langchain[patch], templates[patch]: fix multi query retriever, web re… (#17434) ... …search retriever Fixes #17352	8 months ago
mhavey	1bbb64d956	community[minor], langchian[minor]: Add Neptune Rdf graph and chain (#16650) ... **Description**: This PR adds a chain for Amazon Neptune graph database RDF format. It complements the existing Neptune Cypher chain. The PR also includes a Neptune RDF graph class to connect to, introspect, and query a Neptune RDF graph database from the chain. A sample notebook is provided under docs that demonstrates the overall effect: invoking the chain to make natural language queries against Neptune using an LLM. **Issue**: This is a new feature **Dependencies**: The RDF graph class depends on the AWS boto3 library if using IAM authentication to connect to the Neptune database. --------- Co-authored-by: Piyush Jain <piyushjain@duck.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Massimiliano Pronesti	df7cbd6fbb	community[minor]: add FlashRank ranker (#16785) ... **Description:** This PR adds support for [flashrank](https://github.com/PrithivirajDamodaran/FlashRank) for reranking as alternative to Cohere. I'm not sure `libs/langchain` is the right place for this change. At first, I wanted to put it under `libs/community`. All the compressors were under `libs/langchain/retrievers/document_compressors` though. Hope this makes sense!	8 months ago
Theo / Taeyoon Kang	1987f905ed	core[patch]: Support .yml extension for YAML (#16783) ... - **Description:** [AS-IS] When dealing with a yaml file, the extension must be .yaml. [TO-BE] In the absence of extension length constraints in the OS, the extension of the YAML file is yaml, but control over the yml extension must still be made. It's as if it's an error because it's a .jpg extension in jpeg support. - **Issue:** - - **Dependencies:** no dependencies required for this change,	8 months ago
Bagatur	22638e5927	community[patch]: give reranker default client val (#17289)	8 months ago
Tomaz Bratanic	19a1c9183d	Improve graph cypher qa prompt (#17380) ... Unlike vector results, the LLM has to completely trust the context of a graph database result, even if it doesn't provide whole context. We tried with instructions, but it seems that adding a single example is the way to go to solve this issue.	8 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
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>	8 months ago
Bagatur	65e97c9b53	infra: mv SQLDatabase tests to community (#17276)	8 months ago
Bagatur	72c7af0bc0	langchain[patch]: undo redis cache import (#17275)	8 months ago
Bagatur	8bad4157ad	langchain[patch]: Release 0.1.6 (#17133)	8 months ago
Bagatur	02ef9164b5	langchain[patch]: expose cohere rerank score, add parent doc param (#16887)	8 months ago
joelsprunger	3984f6604f	langchain: adds recursive json splitter (#17144) ... - **Description:** This adds a recursive json splitter class to the existing text_splitters as well as unit tests - **Issue:** splitting text from structured data can cause issues if you have a large nested json object and you split it as regular text you may end up losing the structure of the json. To mitigate against this you can split the nested json into large chunks and overlap them, but this causes unnecessary text processing and there will still be times where the nested json is so big that the chunks get separated from the parent keys. As an example you wouldn't want the following to be split in half: ```shell {'val0': 'DFWeNdWhapbR', 'val1': {'val10': 'QdJo', 'val11': 'FWSDVFHClW', 'val12': 'bkVnXMMlTiQh', 'val13': 'tdDMKRrOY', 'val14': 'zybPALvL', 'val15': 'JMzGMNH', 'val16': {'val160': 'qLuLKusFw', 'val161': 'DGuotLh', 'val162': 'KztlcSBropT', -----------------------------------------------------------------------split----- 'val163': 'YlHHDrN', 'val164': 'CtzsxlGBZKf', 'val165': 'bXzhcrWLmBFp', 'val166': 'zZAqC', 'val167': 'ZtyWno', 'val168': 'nQQZRsLnaBhb', 'val169': 'gSpMbJwA'}, 'val17': 'JhgiyF', 'val18': 'aJaqjUSFFrI', 'val19': 'glqNSvoyxdg'}} ``` Any llm processing the second chunk of text may not have the context of val1, and val16 reducing accuracy. Embeddings will also lack this context and this makes retrieval less accurate. Instead you want it to be split into chunks that retain the json structure. ```shell {'val0': 'DFWeNdWhapbR', 'val1': {'val10': 'QdJo', 'val11': 'FWSDVFHClW', 'val12': 'bkVnXMMlTiQh', 'val13': 'tdDMKRrOY', 'val14': 'zybPALvL', 'val15': 'JMzGMNH', 'val16': {'val160': 'qLuLKusFw', 'val161': 'DGuotLh', 'val162': 'KztlcSBropT', 'val163': 'YlHHDrN', 'val164': 'CtzsxlGBZKf'}}} ``` and ```shell {'val1':{'val16':{ 'val165': 'bXzhcrWLmBFp', 'val166': 'zZAqC', 'val167': 'ZtyWno', 'val168': 'nQQZRsLnaBhb', 'val169': 'gSpMbJwA'}, 'val17': 'JhgiyF', 'val18': 'aJaqjUSFFrI', 'val19': 'glqNSvoyxdg'}} ``` This recursive json text splitter does this. Values that contain a list can be converted to dict first by using split(... convert_lists=True) otherwise long lists will not be split and you may end up with chunks larger than the max chunk. In my testing large json objects could be split into small chunks with ✅ Increased question answering accuracy ✅ The ability to split into smaller chunks meant retrieval queries can use fewer tokens - **Dependencies:** json import added to text_splitter.py, and random added to the unit test - **Twitter handle:** @joelsprunger --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
Cailin Wang	a210a8bc53	langchain[patch]: Fix create_retriever_tool missing on_retriever_end Document content (#16933) ... - **Description:** In create_retriever_tool create_tool, fix create_retriever_tool's missing Document content for on_retriever_end, caused by create_retriever_tool's missing callbacks parameter, - **Twitter handle:** @CailinWang_ --------- Co-authored-by: root <root@Bluedot-AI> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Neli Hateva	9bb5157a3d	langchain[patch], community[patch]: Fixes in the Ontotext GraphDB Graph and QA Chain (#17239) ... - **Description:** Fixes in the Ontotext GraphDB Graph and QA Chain related to the error handling in case of invalid SPARQL queries, for which `prepareQuery` doesn't throw an exception, but the server returns 400 and the query is indeed invalid - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** @OntotextGraphDB	8 months ago
Bagatur	852973d616	langchain[minor], core[minor]: update json, pydantic parser. add openai-json structured output runnable (#16914)	8 months ago
Eugene Yurtsev	780e84ae79	community[minor]: SQLDatabase Add fetch mode `cursor`, query parameters, query by selectable, expose execution options, and documentation (#17191) ... - **Description:** Improve `SQLDatabase` adapter component to promote code re-use, see [suggestion](https://github.com/langchain-ai/langchain/pull/16246#pullrequestreview-1846590962). - **Needed by:** GH-16246 - **Addressed to:** @baskaryan, @cbornet ## Details - Add `cursor` fetch mode - Accept SQL query parameters - Accept both `str` and SQLAlchemy selectables as query expression - Expose `execution_options` - Documentation page (notebook) about `SQLDatabase` [^1] See [About SQLDatabase](https://github.com/langchain-ai/langchain/blob/c1c7b763/docs/docs/integrations/tools/sql_database.ipynb). [^1]: Apparently there hasn't been any yet? --------- Co-authored-by: Andreas Motl <andreas.motl@crate.io>	8 months ago
Dmitry Kankalovich	f92738a6f6	langchain[minor], community[minor], core[minor]: Async Cache support and AsyncRedisCache (#15817) ... * This PR adds async methods to the LLM cache. * Adds an implementation using Redis called AsyncRedisCache. * Adds a docker compose file at the /docker to help spin up docker * Updates redis tests to use a context manager so flushing always happens by default	8 months ago
Henry	2281f00198	langchain: Standardize `output_parser.py` across all agent types for custom `FORMAT_INSTRUCTIONS` (#17168) ... - **Description:** This PR standardizes the `output_parser.py` file across all agent types to ensure a uniform parsing mechanism is implemented. It introduces a cohesive structure and common interface for output parsing, facilitating easier modifications and extensions by users. The standardized approach enhances maintainability and scalability of the codebase by providing a consistent pattern for output parsing, which can be easily understood and utilized across different agent types. This PR builds upon the foundation set by a previously merged PR, which focused exclusively on standardizing the `output_parser.py` for the `conversational_agent` ([PR #16945](https://github.com/langchain-ai/langchain/pull/16945)). With this new update, I extend the standardization efforts to encompass `output_parser.py` files across all agent types. This enhancement not only unifies the parsing mechanism across the board but also introduces the flexibility for users to incorporate custom `FORMAT_INSTRUCTIONS`. - **Issue:** https://github.com/langchain-ai/langchain/issues/10721 https://github.com/langchain-ai/langchain/issues/4044 - **Dependencies:** No new dependencies required for this change - **Twitter handle:** With my github user is enough. Thanks I hope you accept my PR.	8 months ago
Nuno Campos	65798289a4	core[minor]: Use batched tracing in sdk (#16305) ... Remove threadpool executor usage in langchain tracer, this is now handled by sdk	8 months ago
Tomaz Bratanic	302989a2b1	allow optional newline in the action responses of JSON Agent parser (#17186) ... Based on my experiments, the newline isn't always there, so we can make the regex slightly more robust by allowing an optional newline after the bacticks	8 months ago
Erick Friis	22b6a03a28	infra: read min versions (#17135)	8 months ago
Junyoung Park	1ed73f1992	community[minor]: Add SelfQueryRetriever support to PGVector (#16991) ... - **Description:** Add SelfQueryRetriever support to PGVector - **Issue:** - - **Dependencies:** - - **Twitter handle:** - --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Henry	eaeb8a5f71	langchain[patch]: `output_parser.py` in conversation_chat is customizable (#16945) ... **Description:** With this modification, users can customize the `FORMAT_INSTRUCTIONS` template, allowing them to create their own prompts As it is happening in [this](https://github.com/langchain-ai/langchain/issues/10721) issue, the `FORMAT_INSTRUCTIONS` is not customizable for the output parser, unless you create your own class `ConvoOutputParser`. To avoid this, a modification was done, creating a `format_instruction` variable that users can customize with ease after initialize the agent. For example: ``` agent = initialize_agent( agent = AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION, tools = tools, llm = llm_agent, verbose = True, max_iterations = 3, early_stopping_method = 'generate', memory = b_w_memory, handle_parsing_errors = True, agent_kwargs={ 'system_message':PREFIX, 'human_message':SUFFIX, 'template_tool_response':TEMPLATE_TOOL_RESPONSE, } ) agent.agent.output_parser.format_instructions = "MY CUSTOM FORMAT INSTRUCTIONS" print(agent.agent.output_parser.get_format_instructions()) MY CUSTOM FORMAT INSTRUCTIONS ``` Other parameters like `system_message`, `human_message`, or `template_tool_response` are already customizable and with this PR, the last parameter `FORMAT_INSTRUCTIONS` in `langchain.agents.conversational_chat.prompt` can be modified. **Issue:** https://github.com/langchain-ai/langchain/issues/10721 **Dependencies:** No new dependencies required for this change **Twitter handle:** With my github user is enough. Thanks I hope you accept my PR. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Jimmy Moore	912210ac19	core[patch]: fix _sql_record_manager mypy for #17048 (#17073) ... - **Description:** Add relevant type annotations for relevant session and query objects to resolve mypy errors when `# type: ignore` comments are removed. - **Issue:** #17048 - **Dependencies:** None, - **Twitter handle:** [clesiemo3](https://twitter.com/clesiemo3) I attempted to solve the `UpsertionRecord` ignore but it would require added a deprecated plugin or moving completely to sqlalchemy 2.0+ from my understanding. I'm assuming this is not something desired at this point in time.	8 months ago
T Cramer	e022bfaa7d	langchain: add partial parsing support to JsonOutputToolsParser (#17035) ... - **Description:** Add partial parsing support to JsonOutputToolsParser - **Issue:** [16736](https://github.com/langchain-ai/langchain/issues/16736) --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	8 months ago
calvinweb	dcf973c22c	Langchain: `json_chat` don't need stop sequenes (#16335) ... This is a PR about #16334 The Stop sequenes isn't meanful in `json_chat` because it depends json to work, not completions <!-- 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: Harrison Chase <hw.chase.17@gmail.com>	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
Christophe Bornet	2ef69fe11b	Add async methods to BaseChatMessageHistory and BaseMemory (#16728) ... Adds: * async methods to BaseChatMessageHistory * async methods to ChatMessageHistory * async methods to BaseMemory * async methods to BaseChatMemory * async methods to ConversationBufferMemory * tests of ConversationBufferMemory's async methods **Twitter handle:** cbornet_	8 months ago
Bagatur	2a510c71a0	core[patch]: doc init positional args (#16854)	8 months ago
Bagatur	c29e9b6412	core[patch]: fix chat prompt partial messages placeholder var (#16918)	8 months ago
William FH	e02efd513f	core[patch]: Hide aliases when serializing (#16888) ... Currently, if you dump an object initialized with an alias, we'll still dump the secret values since they're retained in the kwargs	8 months ago
William FH	131c043864	Fix loading of ImagePromptTemplate (#16868) ... We didn't override the namespace of the ImagePromptTemplate, so it is listed as being in langchain.schema This updates the mapping to let the loader deserialize. Alternatively, we could make a slight breaking change and update the namespace of the ImagePromptTemplate since we haven't broadly publicized/documented it yet..	8 months ago
Leonid Ganeline	c2ca6612fe	refactor `langchain.prompts.example_selector` (#15369) ... The `langchain.prompts.example_selector` [still holds several artifacts](https://api.python.langchain.com/en/latest/langchain_api_reference.html#module-langchain.prompts) that belongs to `community`. If they moved to `langchain_community.example_selectors`, the `langchain.prompts` namespace would be effectively removed which is great. - moved a class and afunction to `langchain_community` Note: - Previously, the `langchain.prompts.example_selector` artifacts were moved into the `langchain_core.exampe_selectors`. See the flattened namespace (`.prompts` was removed)! Similar flattening was implemented for the `langchain_core` as the `langchain_core.exampe_selectors`. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	8 months ago
Qihui Xie	c5b01ac621	community[patch]: support LIKE comparator (full text match) in Qdrant (#12769) ... **Description:** Support [Qdrant full text match filtering](https://qdrant.tech/documentation/concepts/filtering/#full-text-match) by adding Comparator.LIKE to QdrantTranslator.	8 months ago
Christophe Bornet	78a1af4848	langchain[patch]: Add async methods to MultiVectorRetriever (#16878) ... Adds async support to multi vector retriever	8 months ago
Bagatur	9e7d9f9390	infra: bump langchain min test reqs (#16882)	8 months ago
Bagatur	db442c635b	langchain[patch]: Release 0.1.5 (#16881)	8 months ago
Christophe Bornet	a0ec045495	Add async methods to BaseStore (#16669) ... - **Description:** The BaseStore methods are currently blocking. Some implementations (AstraDBStore, RedisStore) would benefit from having async methods. Also once we have async methods for BaseStore, we can implement the async `aembed_documents` in CacheBackedEmbeddings to cache the embeddings asynchronously. * adds async methods amget, amset, amedelete and ayield_keys to BaseStore * implements the async methods for InMemoryStore * adds tests for InMemoryStore async methods - **Twitter handle:** cbornet_	8 months ago
Christophe Bornet	af8c5c185b	langchain[minor],community[minor]: Add async methods in BaseLoader (#16634) ... Adds: * methods `aload()` and `alazy_load()` to interface `BaseLoader` * implementation for class `MergedDataLoader ` * support for class `BaseLoader` in async function `aindex()` with unit tests Note: this is compatible with existing `aload()` methods that some loaders already had. **Twitter handle:** @cbornet_ --------- Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>	8 months ago
Bagatur	b0347f3e2b	docs: add csv use case (#16756)	8 months ago
Neli Hateva	c95facc293	langchain[minor], community[minor]: Implement Ontotext GraphDB QA Chain (#16019) ... - **Description:** Implement Ontotext GraphDB QA Chain - **Issue:** N/A - **Dependencies:** N/A - **Twitter handle:** @OntotextGraphDB	8 months ago
chyroc	a08f9a7ff9	langchain[patch]: support OpenAIAssistantRunnable async (#15302) ... fix https://github.com/langchain-ai/langchain/issues/15299 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Antonio Lanza	08d3fd7f2e	langchain[patch]: inconsistent results with `RecursiveCharacterTextSplitter`'s `add_start_index=True` (#16583) ... This PR fixes issue #16579	8 months ago
Bagatur	5df8ab574e	infra: move indexing documentation test (#16595)	8 months ago
Bagatur	f3d61a6e47	langchain[patch]: Release 0.1.4 (#16592)	8 months ago
Bagatur	ef42d9d559	core[patch], community[patch], openai[patch]: consolidate openai tool… (#16485) ... … converters One way to convert anything to an OAI function: convert_to_openai_function One way to convert anything to an OAI tool: convert_to_openai_tool Corresponding bind functions on OAI models: bind_functions, bind_tools	8 months ago
Anders Åhsman	355ef2a4a6	langchain[patch]: Fix doc-string grammar (#16543) ... - **Description:** Small grammar fix in docstring for class `BaseCombineDocumentsChain`.	8 months ago
Bagatur	c173a69908	langchain[patch]: oai tools output parser nit (#16540) ... allow positional init args	8 months ago
Martin Kolb	04651f0248	community[minor]: VectorStore integration for SAP HANA Cloud Vector Engine (#16514) ... - **Description:** This PR adds a VectorStore integration for SAP HANA Cloud Vector Engine, which is an upcoming feature in the SAP HANA Cloud database (https://blogs.sap.com/2023/11/02/sap-hana-clouds-vector-engine-announcement/). - **Issue:** N/A - **Dependencies:** [SAP HANA Python Client](https://pypi.org/project/hdbcli/) - **Twitter handle:** @sapopensource Implementation of the integration: `libs/community/langchain_community/vectorstores/hanavector.py` Unit tests: `libs/community/tests/unit_tests/vectorstores/test_hanavector.py` Integration tests: `libs/community/tests/integration_tests/vectorstores/test_hanavector.py` Example notebook: `docs/docs/integrations/vectorstores/hanavector.ipynb` Access credentials for execution of the integration tests can be provided to the maintainers. --------- Co-authored-by: sascha <sascha.stoll@sap.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	8 months ago
Ali Zendegani	80fcc50c65	langchain[patch]: Minor Fix: Enable Passing custom_headers for Authentication in GraphQL Agent/Tool (#16413) ... - **Description:** This PR aims to enhance the `langchain` library by enabling the support for passing `custom_headers` in the `GraphQLAPIWrapper` usage within `langchain/agents/load_tools.py`. While the `GraphQLAPIWrapper` from the `langchain_community` module is inherently capable of handling `custom_headers`, its current invocation in `load_tools.py` does not facilitate this functionality. This limitation restricts the use of the `graphql` tool with databases or APIs that require token-based authentication. The absence of support for `custom_headers` in this context also leads to a lack of error messages when attempting to interact with secured GraphQL endpoints, making debugging and troubleshooting more challenging. This update modifies the `load_tools` function to correctly handle `custom_headers`, thereby allowing secure and authenticated access to GraphQL services requiring tokens. Example usage after the proposed change: ```python tools = load_tools( ["graphql"], graphql_endpoint="https://your-graphql-endpoint.com/graphql", custom_headers={"Authorization": f"Token {api_token}"}, ) ``` - **Issue:** None, - **Dependencies:** None, - **Twitter handle:** None	8 months ago
Krista Pratico	0e2e7d8b83	langchain[patch]: allow passing client with OpenAIAssistantRunnable (#16486) ... - **Description:** This addresses the issue tagged below where if you try to pass your own client when creating an OpenAI assistant, a pydantic error is raised: Example code: ```python import openai from langchain.agents.openai_assistant import OpenAIAssistantRunnable client = openai.OpenAI() interpreter_assistant = OpenAIAssistantRunnable.create_assistant( name="langchain assistant", instructions="You are a personal math tutor. Write and run code to answer math questions.", tools=[{"type": "code_interpreter"}], model="gpt-4-1106-preview", client=client ) ``` Error: `pydantic.v1.errors.ConfigError: field "client" not yet prepared, so the type is still a ForwardRef. You might need to call OpenAIAssistantRunnable.update_forward_refs()` It additionally updates type hints and docstrings to indicate that an AzureOpenAI client is permissible as well. - **Issue:** https://github.com/langchain-ai/langchain/issues/15948 - **Dependencies:** N/A	8 months ago
Gianfranco Demarco	c69f599594	langchain[patch]: Extract _aperform_agent_action from _aiter_next_step from AgentExecutor (#15707) ... - **Description:** extreact the _aperform_agent_action in the AgentExecutor class to allow for easier overriding. Extracted logic from _iter_next_step into a new method _perform_agent_action for consistency and easier overriding. - **Issue:** #15706 Closes #15706	8 months ago
i-w-a	95ee69a301	langchain[patch]: In HTMLHeaderTextSplitter set default encoding to utf-8 (#16372) ... - **Description:** The HTMLHeaderTextSplitter Class now explicitly specifies utf-8 encoding in the part of the split_text_from_file method that calls the HTMLParser. - **Issue:** Prevent garbled characters due to differences in encoding of html files (except for English in particular, I noticed that problem with Japanese). - **Dependencies:** No dependencies, - **Twitter handle:** @i_w__a	8 months ago
Bagatur	ba326b98d0	langchain[patch]: Release 0.1.3 (#16475)	8 months ago
Erick Friis	cfe95ab085	multiple: update langsmith dep (#16407)	8 months ago
Bagatur	af9f1738ca	langchain[patch]: Release 0.1.2 (#16388)	8 months ago
Bagatur	1dc6c1ce06	core[patch], community[patch], langchain[patch], docs: Update SQL chains/agents/docs (#16168) ... Revamp SQL use cases docs. In the process update SQL chains and agents.	8 months ago