langchain

Commit Graph

Author	SHA1	Message	Date
maang-h	e4e28a6ff5	community[patch]: Fix MiniMaxChat validate_environment error (#23770 ) - Description: Fix some issues in MiniMaxChat - Fix `minimax_api_host` not in `values` error - Remove `minimax_group_id` from reading environment variables, the `minimax_group_id` no longer use in MiniMaxChat - Invoke callback prior to yielding token, the issus #16913	3 months ago
Eugene Yurtsev	46ff0f7a3c	community[patch]: Update @root_validators to use explicit pre=True or pre=False (#23737 )	3 months ago
Igor Drozdov	b664dbcc36	feat(community): add support for tool_calls response (#23765 ) When `model_kwargs={"tools": tools}` are passed to `ChatLiteLLM`, they are executed, but the response is not recognized correctly Let's add `tool_calls` to the `additional_kwargs` Thank you for contributing to LangChain! ## ChatAnthropic I used the following example to verify the output of llm with tools: ```python from langchain_core.pydantic_v1 import BaseModel, Field from langchain_anthropic import ChatAnthropic class GetWeather(BaseModel): '''Get the current weather in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") class GetPopulation(BaseModel): '''Get the current population in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") llm = ChatAnthropic(model="claude-3-sonnet-20240229") llm_with_tools = llm.bind_tools([GetWeather, GetPopulation]) ai_msg = llm_with_tools.invoke("Which city is hotter today and which is bigger: LA or NY?") print(ai_msg.tool_calls) ``` I get the following response: ```json [{'name': 'GetWeather', 'args': {'location': 'Los Angeles, CA'}, 'id': 'toolu_01UfDA89knrhw3vFV9X47neT'}, {'name': 'GetWeather', 'args': {'location': 'New York, NY'}, 'id': 'toolu_01NrYVRYae7m7z7tBgyPb3Gd'}, {'name': 'GetPopulation', 'args': {'location': 'Los Angeles, CA'}, 'id': 'toolu_01EPFEpDgzL6vV2dTpD9SVP5'}, {'name': 'GetPopulation', 'args': {'location': 'New York, NY'}, 'id': 'toolu_01B5J6tPJXgwwfhQX9BHP2dt'}] ``` ## LiteLLM Based on https://litellm.vercel.app/docs/completion/function_call ```python from langchain_core.pydantic_v1 import BaseModel, Field from langchain_core.utils.function_calling import convert_to_openai_tool import litellm class GetWeather(BaseModel): '''Get the current weather in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") class GetPopulation(BaseModel): '''Get the current population in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") prompt = "Which city is hotter today and which is bigger: LA or NY?" tools = [convert_to_openai_tool(GetWeather), convert_to_openai_tool(GetPopulation)] response = litellm.completion(model="claude-3-sonnet-20240229", messages=[{'role': 'user', 'content': prompt}], tools=tools) print(response.choices[0].message.tool_calls) ``` ```python [ChatCompletionMessageToolCall(function=Function(arguments='{"location": "Los Angeles, CA"}', name='GetWeather'), id='toolu_01HeDWV5vP7BDFfytH5FJsja', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{"location": "New York, NY"}', name='GetWeather'), id='toolu_01EiLesUSEr3YK1DaE2jxsQv', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{"location": "Los Angeles, CA"}', name='GetPopulation'), id='toolu_01Xz26zvkBDRxEUEWm9pX6xa', type='function'), ChatCompletionMessageToolCall(function=Function(arguments='{"location": "New York, NY"}', name='GetPopulation'), id='toolu_01SDqKnsLjvUXuBsgAZdEEpp', type='function')] ``` ## ChatLiteLLM When I try the following ```python from langchain_core.pydantic_v1 import BaseModel, Field from langchain_core.utils.function_calling import convert_to_openai_tool from langchain_community.chat_models import ChatLiteLLM class GetWeather(BaseModel): '''Get the current weather in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") class GetPopulation(BaseModel): '''Get the current population in a given location''' location: str = Field(..., description="The city and state, e.g. San Francisco, CA") prompt = "Which city is hotter today and which is bigger: LA or NY?" tools = [convert_to_openai_tool(GetWeather), convert_to_openai_tool(GetPopulation)] llm = ChatLiteLLM(model="claude-3-sonnet-20240229", model_kwargs={"tools": tools}) ai_msg = llm.invoke(prompt) print(ai_msg) print(ai_msg.tool_calls) ``` ```python content="Okay, let's find out the current weather and populations for Los Angeles and New York City:" response_metadata={'token_usage': Usage(prompt_tokens=329, completion_tokens=193, total_tokens=522), 'model': 'claude-3-sonnet-20240229', 'finish_reason': 'tool_calls'} id='run-748b7a84-84f4-497e-bba1-320bd4823937-0' [] ``` --- When I apply the changes of this PR, the output is ```json [{'name': 'GetWeather', 'args': {'location': 'Los Angeles, CA'}, 'id': 'toolu_017D2tGjiaiakB1HadsEFZ4e'}, {'name': 'GetWeather', 'args': {'location': 'New York, NY'}, 'id': 'toolu_01WrDpJfVqLkPejWzonPCbLW'}, {'name': 'GetPopulation', 'args': {'location': 'Los Angeles, CA'}, 'id': 'toolu_016UKyYrVAV9Pz99iZGgGU7V'}, {'name': 'GetPopulation', 'args': {'location': 'New York, NY'}, 'id': 'toolu_01Sgv1imExFX1oiR1Cw88zKy'}] ``` If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17. Co-authored-by: Igor Drozdov <idrozdov@gitlab.com>	3 months ago
Eugene Yurtsev	338cef35b4	community[patch]: update @root_validator in utilities namespace (#23768 ) Update all utilities to use `pre=True` or `pre=False` https://github.com/langchain-ai/langchain/issues/22819	3 months ago
antonpibm	ffde8a6a09	Milvus vectorstore: fix pass ids as argument after upsert (#23761 ) Description: Milvus vectorstore supports both `add_documents` via the base class and `upsert` method which deletes and re-adds documents based on their ids Issue: Due to mismatch in the interfaces the ids used by `upsert` are neglected in `add_documents`, as `ids` are passed as argument in `upsert` but via `kwargs` is `add_documents` This caused exceptions and inconsistency in the DB, tested with `auto_id=False` Fix: pass `ids` via `kwargs` to `add_documents`	3 months ago
Eugene Yurtsev	d084172b63	community[patch]: root validator set explicit pre=False or pre=True (#23764 ) See issue: https://github.com/langchain-ai/langchain/issues/22819	3 months ago
mattthomps1	cc55823486	docs: updated PPLX model (#23723 ) Description: updated pplx docs to reference a currently [supported model](https://docs.perplexity.ai/docs/model-cards). pplx-70b-online ->llama-3-sonar-small-32k-online --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
Jacob Lee	7791d92711	community[patch]: Fix requests alias for load_tools (#23734 ) CC @baskaryan	3 months ago
Eugene Yurtsev	f24e38876a	community[patch]: Update root_validators to use explicit pre=True or pre=False (#23736 )	3 months ago
Eugene Yurtsev	5d2262af34	community[patch]: Update root_validators to use pre=True or pre=False (#23731 ) Update root_validators in preparation for pydantic 2 migration.	3 months ago
maang-h	96af8f31ae	community[patch]: Invoke callback prior to yielding token (#23638 ) - Description: Invoke callback prior to yielding token in stream and astream methods for ChatZhipuAI. - Issue: the issue #16913	3 months ago
Valentin	bf402f902e	community: Fix LanceDB similarity search bug (#23591 ) Description: LanceDB didn't allow querying the database using similarity score thresholds because the metrics value was missing. This PR simply fixes that bug. Issue: not applicable Dependencies: none Twitter handle: not available --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
Rafael Pereira	4b9517db85	Jira: Allow Jira access using only the token (#23708 ) - Description: At the moment the Jira wrapper only accepts the the usage of the Username and Password/Token at the same time. However Jira allows the connection using only is useful for enterprise context. Co-authored-by: rpereira <rafael.pereira@criticalsoftware.com>	3 months ago
Tim Van Wassenhove	24916c6703	community: Register pandas df in duckdb when creating vector_store (#23690 ) - Description: Register pandas df in duckdb when creating vector_store - Issue: Resolves #23308 - Dependencies: None - Twitter handle: @timvw Co-authored-by: Tim Van Wassenhove <tim.van.wassenhove@telenetgroup.be>	3 months ago
Bagatur	fc8fd49328	openai, anthropic, ...: with_structured_output to pass in explicit tool choice (#23645 ) ...community, mistralai, groq, fireworks part of #23644	3 months ago
Bagatur	381aedcc61	docs: standardize azure openai page (#23642 ) part of #22296	3 months ago
Vadym Barda	e8d77002ea	core: add RemoveMessage (#23636 ) This change adds a new message type `RemoveMessage`. This will enable `langgraph` users to manually modify graph state (or have the graph nodes modify the state) to remove messages by `id` Examples: * allow users to delete messages from state by calling ```python graph.update_state(config, values=[RemoveMessage(id=state.values[-1].id)]) ``` * allow nodes to delete messages ```python graph.add_node("delete_messages", lambda state: [RemoveMessage(id=state[-1].id)]) ```	3 months ago
ccurme	8fce8c6771	community: fix extended tests (#23640 )	3 months ago
Jacob Lee	a032583b17	docs[patch]: Update diagrams (#23613 )	3 months ago
j pradhan	5f21eab491	community:perplexity[patch]: standardize init args (#21794 ) updated request_timeout default alias value per related docstring. Related to [20085](https://github.com/langchain-ai/langchain/issues/20085) Thank you for contributing to LangChain! --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
mackong	11483b0fb8	community[patch]: set tool name for tongyi&qianfan llm (#22889 ) - Description: The name of ToolMessage is default to None, which makes tool message send to LLM likes ```json {"role": "tool", "tool_call_id": "", "content": "{\"time\": \"12:12\"}", "name": null} ``` But the name seems essential for some LLMs like TongYi Qwen. so we need to set the name use agent_action's tool value. - Issue: N/A - Dependencies: N/A	3 months ago
Leonid Ganeline	e4caa41aa9	community: docstrings `toolkits` (#23616 ) Added missed docstrings. Formatted docstrings to the consistent form.	3 months ago
ccurme	adf2dc13de	community: fix lint (#23611 )	3 months ago
Eugene Yurtsev	68f348357e	community[patch]: Test InMemoryVectorStore with RWAPI test suite (#23603 ) Add standard test suite to InMemoryVectorStore implementation.	3 months ago
NG Sai Prasanth	5e6d23f27d	community: Standardise tool import for arxiv & semantic scholar (#23578 ) - Description: Fixing the way users have to import Arxiv and Semantic Scholar - Issue: Changed to use `from langchain_community.tools.arxiv import ArxivQueryRun` instead of `from langchain_community.tools.arxiv.tool import ArxivQueryRun` - Dependencies: None - Twitter handle: Nope	3 months ago
Ayo Ayibiowu	c6f700b7cb	fix(community): allow support for disabling max_tokens args (#21534 ) This PR fixes an issue with not able to use unlimited/infinity tokens from the respective provider for the LiteLLM provider. This is an issue when working in an agent environment that the token usage can drastically increase beyond the initial value set causing unexpected behavior.	3 months ago
mackong	70834cd741	community[patch]: support convert FunctionMessage for Tongyi (#23569 ) Description: For function call agent with Tongyi, cause the AgentAction will be converted to FunctionMessage by `47f69fe0d8/libs/core/langchain_core/agents.py (L188)` But now Tongyi's convert_message_to_dict doesn't support FunctionMessage `47f69fe0d8/libs/community/langchain_community/chat_models/tongyi.py (L184-L207)` Then next round conversation will be failed by the TypeError exception. This patch adds the support to convert FunctionMessage for Tongyi. Issue: N/A Dependencies: N/A	3 months ago
Jacob Lee	60fc15a56b	docs[patch]: Update docs introduction and README (#23558 ) CC @hwchase17 @baskaryan	3 months ago
maang-h	5070004e8a	docs: Update Tongyi ChatModel docstring (#23540 ) - Description: Update Tongyi ChatModel rich docstring - Issue: the issue #22296	3 months ago
yonarw	6d0ebbca1e	community: SAP HANA Vector Engine fix for latest HANA release (#23516 ) - Description: This PR fixes an issue with SAP HANA Cloud QRC03 version. In that version the number to indicate no length being set for a vector column changed from -1 to 0. The change in this PR support both behaviours (old/new). - Dependencies: No dependencies have been introduced. - Tests: The change is covered by previous unit tests.	3 months ago
Alireza Kashani	c39521b70d	Update grobid.py (#23399 ) fixed potential `IndexError: list index out of range` in case there is no title 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, ccurme, vbarda, hwchase17.	3 months ago
Qingchuan Hao	ee282a1d2e	community: add missing link (#23526 )	3 months ago
ccurme	99ce84ef23	community: release 0.2.6 (#23501 )	3 months ago
Nuradil	c93d9e66e4	Community: Update and fix ZenGuardTool docs and add ZenguardTool to init files (#23415 ) Thank you for contributing to LangChain! - [x] PR title: "community: update docs and add tool to init.py" - [x] PR message: - Description: Fixed some errors and comments in the docs and added our ZenGuardTool and additional classes to init.py for easy access when importing - Question: when will you update the langchain-community package in pypi to make our tool available? - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/ Thank you for review! --------- Co-authored-by: Baur <baur.krykpayev@gmail.com>	3 months ago
Qingchuan Hao	ad50702934	community: add default value to bing_search_url (#23306 ) bing_search_url is an endpoint to requests bing search resource and is normally invariant to users, we can give it the default value to simply the uesages of this utility/tool	3 months ago
wenngong	b33d2346db	community: FlashrankRerank support loading customer client (#23350 ) Description: FlashrankRerank Document compressor support loading customer client Issue: #23338 Co-authored-by: gongwn1 <gongwn1@lenovo.com>	3 months ago
maang-h	f58c40b4e3	docs: Update QianfanChatEndpoint ChatModel docstring (#23337 ) - Description: Update QianfanChatEndpoint ChatModel rich docstring - Issue: the issue #22296	3 months ago
Rahul Triptahi	9ef93ecd7c	community[minor]: Added classification_location parameter in PebbloSafeLoader. (#22565 ) Description: Add classifier_location feature flag. This flag enables Pebblo to decide the classifier location, local or pebblo-cloud. Unit Tests: N/A Documentation: N/A --------- Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	3 months ago
yuncliu	398b2b9c51	community[minor]: Add Ascend NPU optimized Embeddings (#20260 ) - Description: Add NPU support for embeddings --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
RUO	2b87e330b0	community: fix issue with nested field extraction in MongodbLoader (#22801 ) Description: This PR addresses an issue in the `MongodbLoader` where nested fields were not being correctly extracted. The loader now correctly handles nested fields specified in the `field_names` parameter. Issue: Fixes an issue where attempting to extract nested fields from MongoDB documents resulted in `KeyError`. Dependencies: No new dependencies are required for this change. Twitter handle: (Optional, your Twitter handle if you'd like a mention when the PR is announced) ### Changes 1. Field Name Parsing: - Added logic to parse nested field names and safely extract their values from the MongoDB documents. 2. Projection Construction: - Updated the projection dictionary to include nested fields correctly. 3. Field Extraction: - Updated the `aload` method to handle nested field extraction using a recursive approach to traverse the nested dictionaries. ### Example Usage Updated usage example to demonstrate how to specify nested fields in the `field_names` parameter: ```python loader = MongodbLoader( connection_string=MONGO_URI, db_name=MONGO_DB, collection_name=MONGO_COLLECTION, filter_criteria={"data.job.company.industry_name": "IT", "data.job.detail": { "$exists": True }}, field_names=[ "data.job.detail.id", "data.job.detail.position", "data.job.detail.intro", "data.job.detail.main_tasks", "data.job.detail.requirements", "data.job.detail.preferred_points", "data.job.detail.benefits", ], ) docs = loader.load() print(len(docs)) for doc in docs: print(doc.page_content) ``` ### Testing Tested with a MongoDB collection containing nested documents to ensure that the nested fields are correctly extracted and concatenated into a single page_content string. ### Note This change ensures backward compatibility for non-nested fields and improves functionality for nested field extraction. ### Output Sample ```python print(docs[:3]) ``` ```shell # output sample: [ Document( # Here in this example, page_content is the combined text from the fields below # "position", "intro", "main_tasks", "requirements", "preferred_points", "benefits" page_content='all combined contents from the requested fields in the document', metadata={'database': 'Your Database name', 'collection': 'Your Collection name'} ), ... ] ``` --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	3 months ago
Tomaz Bratanic	aeeda370aa	Sanitize backticks from neo4j labels and types for import (#23367 )	3 months ago
Rave Harpaz	f5ff7f178b	Add OCI Generative AI new model support (#22880 ) - [x] PR title: community: Add OCI Generative AI new model support - [x] PR message: - Description: adding support for new models offered by OCI Generative AI services. This is a moderate update of our initial integration PR 16548 and includes a new integration for our chat models under /langchain_community/chat_models/oci_generative_ai.py - Issue: NA - Dependencies: No new Dependencies, just latest version of our OCI sdk - Twitter handle: NA - [x] Add tests and docs: 1. we have updated our unit tests 2. we have updated our documentation including a new ipynb for our new chat integration - [x] Lint and test: `make format`, `make lint`, and `make test` run successfully --------- Co-authored-by: RHARPAZ <RHARPAZ@RHARPAZ-5750.us.oracle.com> Co-authored-by: Arthur Cheng <arthur.cheng@oracle.com>	3 months ago
Baur	aa358f2be4	community: Add ZenGuard tool (#22959 ) Description This is the community integration of ZenGuard AI - the fastest guardrails for GenAI applications. ZenGuard AI protects against: - Prompts Attacks - Veering of the pre-defined topics - PII, sensitive info, and keywords leakage. - Toxicity - Etc. Twitter Handle : @zenguardai - [x] Add tests and docs: If you're adding a new integration, please include 1. Added an integration test 2. Added colab - [x] Lint and test: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. --------- Co-authored-by: Nuradil <nuradil.maksut@icloud.com> Co-authored-by: Nuradil <133880216+yaksh0nti@users.noreply.github.com>	3 months ago
Mathis Joffre	60103fc4a5	community: Fix OVHcloud 401 Unauthorized on embedding. (#23260 ) They are now rejecting with code 401 calls from users with expired or invalid tokens (while before they were being considered anonymous). Thus, the authorization header has to be removed when there is no token. Related to: #23178 --------- Signed-off-by: Joffref <mariusjoffre@gmail.com>	3 months ago
Leonid Ganeline	987099cfcd	community: `toolkits` docstrings (#23286 ) Added missed docstrings. Formatted docstrings to the consistent form. --------- Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago
Rahul Triptahi	0cd3f93361	Enhance metadata of sharepointLoader. (#22248 ) Description: 2 feature flags added to SharePointLoader in this PR: 1. load_auth: if set to True, adds authorised identities to metadata 2. load_extended_metadata, adds source, owner and full_path to metadata Unit tests:N/A Documentation: To be done. --------- Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	3 months ago
Rajendra Kadam	7ee2822ec2	community: Fix TypeError in PebbloRetrievalQA (#23170 ) Description: Fix "`TypeError: 'NoneType' object is not iterable`" when the auth_context is absent in PebbloRetrievalQA. The auth_context is optional; hence, PebbloRetrievalQA should work without it, but it throws an error at the moment. This PR fixes that issue. Issue: NA Dependencies: None Unit tests: NA --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	3 months ago
Iurii Umnov	3b7b933aa2	community[minor]: OpenAPI agent. Add support for PUT, DELETE and PATCH (#22962 ) Description: Add PUT, DELETE and PATCH tools to tool list for OpenAPI agent if dangerous requests are allowed. Issue: https://github.com/langchain-ai/langchain/issues/20469	3 months ago
Guangdong Liu	3c42bf8d97	community(patch):Fix PineconeHynridSearchRetriever not having search_kwargs (#21577 ) - close #21521	3 months ago
Rahul Triptahi	4bb3d5c488	[community][quick-fix]: changed from blob.path to blob.path.name in 0365BaseLoader. (#22287 ) Description: file_metadata_ was not getting propagated to returned documents. Changed the lookup key to the name of the blob's path. Changed blob.path key to blob.path.name for metadata_dict key lookup. Documentation: N/A Unit tests: N/A Co-authored-by: ccurme <chester.curme@gmail.com>	3 months ago

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