3806 Commits (4a1795190004bbb8badfab6ce1f2a8416c3c2558)

Author	SHA1	Message	Date
aditya thomas	4f75b230ed	partner[ai21]: masking of the api key for ai21 models (#20257) ... **Description:** Masking of the API key for AI21 models **Issue:** Fixes #12165 for AI21 **Dependencies:** None Note: This fix came in originally through #12418 but was possibly missed in the refactor to the AI21 partner package --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Leonid Ganeline	e512d3c6a6	langchain: `callbacks` imports fix (#20348) ... Replaced all `from langchain.callbacks` into `from langchain_core.callbacks` . Changes in the `langchain` and `langchain_experimental` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	d83b720c40	templates: readme langsmith not private beta (#20173)	5 months ago
balloonio	e7b1a44c5b	community[patch]: Invoke callback prior to yielding token fix for Llamafile (#20365) ... - [x] **PR title**: community[patch]: Invoke callback prior to yielding token fix for Llamafile - [x] **PR message**: - **Description:** Invoke callback prior to yielding token in stream method in community llamafile.py - **Issue:** https://github.com/langchain-ai/langchain/issues/16913 - **Dependencies:** None - **Twitter handle:** @bolun_zhang If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17.	5 months ago
balloonio	93caa568f9	community[patch]: Invoke callback prior to yielding token fix for HuggingFaceEndpoint (#20366) ... - [x] **PR title**: community[patch]: Invoke callback prior to yielding token fix for HuggingFaceEndpoint - [x] **PR message**: - **Description:** Invoke callback prior to yielding token in stream method in community HuggingFaceEndpoint - **Issue:** https://github.com/langchain-ai/langchain/issues/16913 - **Dependencies:** None - **Twitter handle:** @bolun_zhang If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Nicolas	ad04585e30	community[minor]: Firecrawl.dev integration (#20364) ... Added the [FireCrawl](https://firecrawl.dev) document loader. Firecrawl crawls and convert any website into LLM-ready data. It crawls all accessible subpages and give you clean markdown for each. - **Description:** Adds FireCrawl data loader - **Dependencies:** firecrawl-py - **Twitter handle:** @mendableai ccing contributors: (@ericciarla @nickscamara) --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Tomaz Bratanic	a1b105ac00	experimental[patch]: Skip pydantic validation for llm graph transformer and fix JSON response where possible (#19915) ... LLMs might sometimes return invalid response for LLM graph transformer. Instead of failing due to pydantic validation, we skip it and manually check and optionally fix error where we can, so that more information gets extracted	5 months ago
P. Taylor Goetz	9317df7f16	community[patch]: Add "model" attribute to the payload sent to Ollama in `ChatOllama` (#20354) ... Example Ollama API calls: Request without "model": ``` curl --location 'http://localhost:11434/api/chat' \ --header 'Content-Type: application/json' \ --data '{ "messages": [ { "role": "user", "content": "What is the capitol of PA?" } ], "stream": false }' ``` Response: ``` {"error":"model is required"} ``` Request with "model": ``` curl --location 'http://localhost:11434/api/chat' \ --header 'Content-Type: application/json' \ --data '{ "model": "openchat", "messages": [ { "role": "user", "content": "What is the capitol of PA?" } ], "stream": false }' ``` Response: ``` { "eval_duration" : 733248000, "created_at" : "2024-04-11T23:04:08.735766843Z", "model" : "openchat", "message" : { "content" : " The capital city of Pennsylvania is Harrisburg.", "role" : "assistant" }, "total_duration" : 3138731168, "prompt_eval_count" : 25, "load_duration" : 466562959, "done" : true, "prompt_eval_duration" : 1938495000, "eval_count" : 10 } ```	5 months ago
Alex Sherstinsky	fad0962643	community: for Predibase -- enable both Predibase-hosted and HuggingFace-hosted fine-tuned adapter repositories (#20370)	5 months ago
Eugene Yurtsev	6470b30173	langchain[patch]: Add deprecation warning to extraction chains (#20224) ... Add deprecation warnings to extraction chains	5 months ago
Eugene Yurtsev	b65a1d4cfd	langchain[patch]: Add another unit test for indexing code (#20387) ... Add another unit test for indexing	5 months ago
Erick Friis	29282371db	core: bind_tools interface on basechatmodel (#20360)	5 months ago
Erick Friis	e6806a08d4	multiple: standard chat model tests (#20359)	5 months ago
Isak Nyberg	bac9fb9a7c	community: add gpt-4 pricing in callback (#20292) ... Added the pricing for `gpt-4-turbo` and `gpt-4-turbo-2024-04-09` in the callback method. related to issue #17173 https://openai.com/pricing#language-models	5 months ago
Leonid Ganeline	7cf2d2759d	community[patch]: docstrings update (#20301) ... Added missed docstrings. Format docstings to the consistent form.	5 months ago
Eugene Yurtsev	2900720cd3	core[patch]: Update documentation for base retriever (#20345) ... Updating in code documentation for base retriever to direct folks toward the .invoke and .ainvoke methods + explain how to implement	5 months ago
Erick Friis	ec0273fc92	chroma: release 0.1.0 (#20355)	5 months ago
Erick Friis	da707d0755	chroma: remove relevance score int test (#20346) ... deprecating feature in #20302	5 months ago
Bagatur	6608089030	langchain[patch]: Release 0.1.16 (#20335)	5 months ago
Eugene Yurtsev	653489a1a9	docs: Update documentation for custom LLMs (#19972) ... Update documentation for customizing LLMs	5 months ago
Bagatur	799714c629	release anthropic, fireworks, openai, groq, mistral (#20333)	5 months ago
Bagatur	e72330aacc	core[patch]: Release 0.1.42 (#20332)	5 months ago
ccurme	795c728f71	mistral[patch]: add IDs to tool calls (#20299) ... Mistral gives us one ID per response, no individual IDs for tool calls. ```python from langchain.agents import AgentExecutor, create_tool_calling_agent, tool from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder from langchain_mistralai import ChatMistralAI prompt = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant"), ("human", "{input}"), MessagesPlaceholder("agent_scratchpad"), ] ) model = ChatMistralAI(model="mistral-large-latest", temperature=0) @tool def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 tools = [magic_function] agent = create_tool_calling_agent(model, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what is the value of magic_function(3)?"}) ``` --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Eugene Yurtsev	22fd844e8a	community[patch]: Add deprecation warnings to postgres implementation (#20222) ... Add deprecation warnings to postgres implementation that are in langchain-postgres.	5 months ago
Eugene Yurtsev	f02f708f52	core[patch]: For now remove user warning (#20321) ... Remove warning since it creates a lot of noise.	5 months ago
Bagatur	c706689413	openai[patch]: use tool_calls in request (#20272)	5 months ago
Bagatur	e936fba428	langchain[patch]: agents check prompt partial vars (#20303)	5 months ago
Bagatur	cb25fa0d55	core[patch]: fix ChatGeneration.text with content blocks (#20294)	5 months ago
Bagatur	03b247cca1	core[patch]: include tool_calls in ai msg chunk serialization (#20291)	5 months ago
Erick Friis	0fa551c278	chroma: bump rc, keep optional (#20298)	5 months ago
Erick Friis	16f8fff14f	chroma: add required fastapi dep to restrict to <1 (#20297)	5 months ago
Erick Friis	991fd82532	chroma: add optional fastapi dep to restrict to <1 (#20295)	5 months ago
killind-dev	f8a54d1d73	chroma: Add chroma partner package (#19292) ... **Description:** Adds chroma to the partners package. Tests & code mirror those in the community package. **Dependencies:** None **Twitter handle:** @akiradev0x --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Yuki Watanabe	eef19954f3	core[patch]: fix duplicated kwargs in `_load_sql_databse_chain` (#19908) ... `kwargs` is specified twice in [this line](3218463f6a/libs/langchain/langchain/chains/loading.py (L386)), causing runtime error when passing any keyword arguments.	5 months ago
Nuno Campos	15271ac832	core: mustache prompt templates (#19980) ... Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Leonid Ganeline	4cb5f4c353	community[patch]: import flattening fix (#20110) ... This PR should make it easier for linters to do type checking and for IDEs to jump to definition of code. See #20050 as a template for this PR. - As a byproduct: Added 3 missed `test_imports`. - Added missed `SolarChat` in to __init___.py Added it into test_import ut. - Added `# type: ignore` to fix linting. It is not clear, why linting errors appear after ^ changes. --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Yuki Oshima	12190ad728	openai[patch]: Fix langchain-openai unknown parameter error with gpt-4-turbo (#20271) ... **Description:** I fixed langchain-openai unknown parameter error with gpt-4-turbo. It seems that the behavior of the Chat Completions API implicitly changed when using the latest gpt-4-turbo model, differing from previous models. It now appears to reject parameters that are not listed in the [API Reference](https://platform.openai.com/docs/api-reference/chat/create). So I found some errors and fixed them. **Issue:** https://github.com/langchain-ai/langchain/issues/20264 **Dependencies:** none **Twitter handle:** https://twitter.com/oshima_123	5 months ago
ccurme	21c1ce0bc1	update agents to use tool call messages (#20074) ... ```python from langchain.agents import AgentExecutor, create_tool_calling_agent, tool from langchain_anthropic import ChatAnthropic from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder prompt = ChatPromptTemplate.from_messages( [ ("system", "You are a helpful assistant"), MessagesPlaceholder("chat_history", optional=True), ("human", "{input}"), MessagesPlaceholder("agent_scratchpad"), ] ) model = ChatAnthropic(model="claude-3-opus-20240229") @tool def magic_function(input: int) -> int: """Applies a magic function to an input.""" return input + 2 tools = [magic_function] agent = create_tool_calling_agent(model, tools, prompt) agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) agent_executor.invoke({"input": "what is the value of magic_function(3)?"}) ``` ``` > Entering new AgentExecutor chain... Invoking: `magic_function` with `{'input': 3}` responded: [{'text': '<thinking>\nThe user has asked for the value of magic_function applied to the input 3. Looking at the available tools, magic_function is the relevant one to use here, as it takes an integer input and returns an integer output.\n\nThe magic_function has one required parameter:\n- input (integer)\n\nThe user has directly provided the value 3 for the input parameter. Since the required parameter is present, we can proceed with calling the function.\n</thinking>', 'type': 'text'}, {'id': 'toolu_01HsTheJPA5mcipuFDBbJ1CW', 'input': {'input': 3}, 'name': 'magic_function', 'type': 'tool_use'}] 5 Therefore, the value of magic_function(3) is 5. > Finished chain. {'input': 'what is the value of magic_function(3)?', 'output': 'Therefore, the value of magic_function(3) is 5.'} ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Erick Friis	9eb6f538f0	infra, multiple: rc release versions (#20252)	5 months ago
Bagatur	0d0458d1a7	mistralai[patch]: Pre-release 0.1.2-rc.1 (#20251)	5 months ago
Bagatur	e4046939d0	anthropic[patch]: Pre-release 0.1.8-rc.1 (#20250)	5 months ago
Bagatur	a8eb0f5b1b	openai[patch]: pre-release 0.1.3-rc.1 (#20249)	5 months ago
Bagatur	a43b9e4f33	core[patch]: Pre-release 0.1.42-rc.1 (#20248)	5 months ago
Bagatur	9514bc4d67	core[minor], ...: add tool calls message (#18947) ... core[minor], langchain[patch], openai[minor], anthropic[minor], fireworks[minor], groq[minor], mistralai[minor] ```python class ToolCall(TypedDict): name: str args: Dict[str, Any] id: Optional[str] class InvalidToolCall(TypedDict): name: Optional[str] args: Optional[str] id: Optional[str] error: Optional[str] class ToolCallChunk(TypedDict): name: Optional[str] args: Optional[str] id: Optional[str] index: Optional[int] class AIMessage(BaseMessage): ... tool_calls: List[ToolCall] = [] invalid_tool_calls: List[InvalidToolCall] = [] ... class AIMessageChunk(AIMessage, BaseMessageChunk): ... tool_call_chunks: Optional[List[ToolCallChunk]] = None ... ``` Important considerations: - Parsing logic occurs within different providers; - ~Changing output type is a breaking change for anyone doing explicit type checking;~ - ~Langsmith rendering will need to be updated: https://github.com/langchain-ai/langchainplus/pull/3561~ - ~Langserve will need to be updated~ - Adding chunks: - ~AIMessage + ToolCallsMessage = ToolCallsMessage if either has non-null .tool_calls.~ - Tool call chunks are appended, merging when having equal values of `index`. - additional_kwargs accumulate the normal way. - During streaming: - ~Messages can change types (e.g., from AIMessageChunk to AIToolCallsMessageChunk)~ - Output parsers parse additional_kwargs (during .invoke they read off tool calls). Packages outside of `partners/`: - https://github.com/langchain-ai/langchain-cohere/pull/7 - https://github.com/langchain-ai/langchain-google/pull/123/files --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Erick Friis	00552918ac	groq: xfail tool_choice tests (#20247)	5 months ago
Bagatur	2d83505be9	experimental[patch]: Release 0.0.57 (#20243)	5 months ago
Bagatur	f06cb59ab9	groq[patch]: Release 0.1.1 (#20242)	5 months ago
Bagatur	0b2f0307d7	openai[patch]: Release 0.1.2 (#20241)	5 months ago
Bagatur	4b84c9b28c	anthropic[patch]: Release 0.1.7 (#20240)	5 months ago
Bagatur	74d04a4e80	mistralai[patch]: Release 0.1.1 (#20239)	5 months ago
Bagatur	e5913c8758	langchain[patch]: Release 0.1.15 (#20237)	5 months ago
Bagatur	e39fdfddf1	community[patch]: Release 0.0.32 (#20236)	5 months ago
Bagatur	a07238d14e	core[patch]: Release 0.1.41 (#20233)	5 months ago
Chip Davis	806d4ae48f	community[patch]: fixed multithreading returning List[List[Documents]] instead of List[Documents] (#20230) ... Description: When multithreading is set to True and using the DirectoryLoader, there was a bug that caused the return type to be a double nested list. This resulted in other places upstream not being able to utilize the from_documents method as it was no longer a `List[Documents]` it was a `List[List[Documents]]`. The change made was to just loop through the `future.result()` and yield every item. Issue: #20093 Dependencies: N/A Twitter handle: N/A	5 months ago
Eugene Yurtsev	fe35e13083	langchain[patch]: Update unit test (#20228) ... This unit test fails likely validation by the openai client. Newer openai library seems to be doing more validation so the existing test fails since http_client needs to be of httpx instance	5 months ago
Casper da Costa-Luis	b972f394c8	langchain[patch]: make BooleanOutputParser check words not substrings (#20064) ... - **Description**: fixes BooleanOutputParser detecting sub-words ("NOW this is likely (YES)" -> `True`, not `AmbiguousError`) - **Issue(s)**: fixes #11408 (follow-up to #17810) - **Dependencies**: None - **GitHub handle**: @casperdcl <!-- if unreviewd after a few days, @-mention one of baskaryan, efriis, eyurtsev, hwchase17 --> - [x] **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/ --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
seray	add31f46d0	community[patch]: OpenLLM Async Client Fixes and Timeout Parameter (#20007) ... Same changes as this merged [PR](https://github.com/langchain-ai/langchain/pull/17478) (https://github.com/langchain-ai/langchain/pull/17478), but for the async client, as the same issues persist. - Replaced 'responses' attribute of OpenLLM's GenerationOutput schema to 'outputs'. reference: 66de54eae7/openllm-core/src/openllm_core/_schemas.py (L135) - Added timeout parameter for the async client. --------- Co-authored-by: Seray Arslan <seray.arslan@knime.com>	5 months ago
Erick Friis	37a9e23c05	community: switch to falkordb python client (#20229)	5 months ago
Christophe Bornet	f43b48aebc	core[minor]: Implement aformat_messages for _StringImageMessagePromptTemplate (#20036)	5 months ago
Christophe Bornet	19001e6cb9	core[minor]: Implement aformat for FewShotPromptWithTemplates (#20039)	5 months ago
Erick Friis	855ba46f80	standard-tests: a standard unit and integration test set (#20182) ... just chat models for now	5 months ago
Erick Friis	9b5cae045c	together: release 0.1.0 (#20225) ... Resolved #20217	5 months ago
Eugene Yurtsev	7cfb643a1c	langchain-postgres: Remove remaining README.md file (#20221) ... Repository has moved to langchain-ai/langchain-postgres	5 months ago
Eugene Yurtsev	2fa7266ebb	Remove postgres package (#20207) ... Package moved	5 months ago
Simon Kelly	a682f0d12b	openai[patch]: wrap stream code in context manager blocks (#18013) ... **Description:** Use the `Stream` context managers in `ChatOpenAi` `stream` and `astream` method. Using the context manager returned by the OpenAI client makes it possible to terminate the stream early since the response connection will be closed when the context manager exists. **Issue:** #5340 **Twitter handle:** @snopoke --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
David Lee	0394c6e126	community[minor]: add allow_dangerous_requests for OpenAPI toolkits (#19493) ... **OpenAPI allow_dangerous_requests**: community: add allow_dangerous_requests for OpenAPI toolkits **Description:** a description of the change Due to BaseRequestsTool changes, we need to pass allow_dangerous_requests manually. b617085af0/libs/community/langchain_community/tools/requests/tool.py (L26-L46) While OpenAPI toolkits didn't pass it in the arguments. b617085af0/libs/community/langchain_community/agent_toolkits/openapi/planner.py (L262-L269) **Issue:** the issue # it fixes, if applicable https://github.com/langchain-ai/langchain/issues/19440 If not passing allow_dangerous_requests, it won't be able to do requests. **Dependencies:** any dependencies required for this change Not much --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Timothy	0c848a25ad	community[patch]: GCSDirectoryLoader bugfix (#20005) ... - **Description:** Bug fix. Removed extra line in `GCSDirectoryLoader` to allow catching Exceptions. Now also logs the file path if Exception is raised for easier debugging. - **Issue:** #20198 Bug since langchain-community==0.0.31 - **Dependencies:** No change - **Twitter handle:** timothywong731 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	5 months ago
jeff kit	ac42e96e4c	community[patch], langchain[minor]: Enhance Tencent Cloud VectorDB, langchain: make Tencent Cloud VectorDB self query retrieve compatible (#19651) ... - make Tencent Cloud VectorDB support metadata filtering. - implement delete function for Tencent Cloud VectorDB. - support both Langchain Embedding model and Tencent Cloud VDB embedding model. - Tencent Cloud VectorDB support filter search keyword, compatible with langchain filtering syntax. - add Tencent Cloud VectorDB TranslationVisitor, now work with self query retriever. - more documentations. --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Bagatur	1a34c65e01	community[patch]: pass through sql agent kwargs (#19962) ... Fix #19961	5 months ago
Guangdong Liu	97d91ec17c	community[patch]: standardize baichuan init args (#20209) ... Related to https://github.com/langchain-ai/langchain/issues/20085 @baskaryan	5 months ago
Piyush Jain	cd7abc495a	community[minor]: add neptune analytics graph (#20047) ... Replacement for PR [#19772](https://github.com/langchain-ai/langchain/pull/19772). --------- Co-authored-by: Dave Bechberger <dbechbe@amazon.com> Co-authored-by: bechbd <bechbd@users.noreply.github.com>	5 months ago
Shuqian	ad9750403b	community[minor]: add bedrock anthropic callback for token usage counting (#19864) ... **Description:** add bedrock anthropic callback for token usage counting, consulted openai callback. --------- Co-authored-by: Massimiliano Pronesti <massimiliano.pronesti@gmail.com>	5 months ago
Prince Canuma	1f9f4d8742	community[minor]: Add support for MLX models (chat & llm) (#18152) ... **Description:** This PR adds support for MLX models both chat (i.e., instruct) and llm (i.e., pretrained) types/ **Dependencies:** mlx, mlx_lm, transformers **Twitter handle:** @Prince_Canuma --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	5 months ago
Leonid Ganeline	2f8dd1a161	community[patch]: `cross_encoders` flatten namespaces (#20183) ... Issue `langchain_community.cross_encoders` didn't have flattening namespace code in the __init__.py file. Changes: - added code to flattening namespaces (used #20050 as a template) - added ut for a change - added missed `test_imports` for `chat_loaders` and `chat_message_histories` modules	5 months ago
kaijietti	a812839f0c	community: add request_timeout and max_retries to ChatAnthropic (#19402) ... This PR make `request_timeout` and `max_retries` configurable for ChatAnthropic. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Erick Friis	391e8f2050	pinecone[patch]: fix core min version (#20177)	5 months ago
Harry Jiang	1ee208541c	langchain: fix pinecone upsert when async_req is set to False (#19793) ... Issue: When async_req is the default value True, pinecone client return the multiprocessing AsyncResult object. When async_req is set to False, pinecone client return the result directly. `[{'upserted_count': 1}]` . Calling get() method will throw an error in this case.	5 months ago
Alex Sherstinsky	5f563e040a	community: extend Predibase integration to support fine-tuned LLM adapters (#19979) ... - [x] **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" - [x] **PR message**: ***Delete this entire checklist*** and replace with - **Description:** Langchain-Predibase integration was failing, because it was not current with the Predibase SDK; in addition, Predibase integration tests were instantiating the Langchain Community `Predibase` class with one required argument (`model`) missing. This change updates the Predibase SDK usage and fixes the integration tests. - **Twitter handle:** `@alexsherstinsky` - [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/ 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. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Bagatur	a27d88f12a	anthropic[patch]: standardize init args (#20161) ... Related to #20085	5 months ago
Bagatur	3490d70238	mistralai[patch]: standardize model params (#20163) ... Related to #20085	5 months ago
Bagatur	5ae0e687b3	docs: use standard openai params (#20160) ... Part of #20085	5 months ago
david02871	e1a24d09c5	community: Add PHP language parser to document_loaders (#19850) ... **Description:** Added a PHP language parser to document_loaders **Issue:** N/A **Dependencies:** N/A **Twitter handle:** N/A --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Marlene	2f03bc397e	Community: Updating Azure Retriever and Docs to be Azure AI Search instead of Azure Cognitive Search (#19925) ... Last year Microsoft [changed the name](https://learn.microsoft.com/en-us/azure/search/search-what-is-azure-search) of Azure Cognitive Search to Azure AI Search. This PR updates the Langchain Azure Retriever API and it's associated docs to reflect this change. It may be confusing for users to see the name Cognitive here and AI in the Microsoft documentation which is why this is needed. I've also added a more detailed example to the Azure retriever doc page. There are more places that need a similar update but I'm breaking it up so the PRs are not too big 😄 Fixing my errors from the previous PR. Twitter: @marlene_zw Two new tests added to test backward compatibility in `libs/community/tests/integration_tests/retrievers/test_azure_cognitive_search.py` --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>	5 months ago
Rahul Triptahi	820b713086	community[minor]: Add support for Pebblo cloud_api_key in PebbloSafeLoader (#19855) ... **Description**: _PebbloSafeLoader_: Add support for pebblo's cloud api-key in PebbloSafeLoader - This Pull request enables PebbloSafeLoader to accept pebblo's cloud api-key and send the semantic classification data to pebblo cloud. **Documentation**: Updated **Unit test**: Added **Issue**: NA **Dependencies**: - None **Twitter handle**: @rahul_tripathi2 Signed-off-by: Rahul Tripathi <rauhl.psit.ec@gmail.com> Co-authored-by: Rahul Tripathi <rauhl.psit.ec@gmail.com>	5 months ago
Eugene Yurtsev	34a24d4df6	postgres[minor]: Add pgvector community as is (#20096) ... This moves langchain pgvector community as is The only modification is support for psycopg3 rather than psycopg2!	5 months ago
Eugene Yurtsev	ba9e0d76c1	postgres[minor]: add postgres checkpoint implementation (#20025) ... Adds checkpoint implementation using psycopg	5 months ago
William FH	039b7a472d	[core] fix: manually specifying run_id for chat models.invoke() and .ainvoke() (#20082)	5 months ago
Erick Friis	96dc0ea49d	pinecone[patch]: release 0.1.0 (#20109)	5 months ago
Maxime Perrin	5ac0d1f67b	partners[anthropic]: fix anthropic chat model message type lookup keys (#19034) ... - **Description:** Fixing message formatting issue in ChatAnthropic model by adding dictionary keys for `AIMessageChunk `and `HumanMessageChunk` - **Issue:** #19025 - **Twitter handle:** @maximeperrin_ Co-authored-by: Maxime Perrin <mperrin@doing.fr> Co-authored-by: Erick Friis <erick@langchain.dev>	5 months ago
Bagatur	46f580d42d	docs: anthropic tool docstring (#20091)	5 months ago
Erick Friis	28dfde2cb2	cohere: move package to external repo (#20081)	5 months ago
Eugene Yurtsev	520ff50adc	community[patch]: Improve import callbacks to make it IDE friendly (#20050) ... * declares __all__ as a list of strings (instead of dynamically computing it) * import type definitions when TYPE_CHECKING is true	5 months ago
Guangdong Liu	5a76087965	langchain-core[minor]: Allow passing local cache to language models (#19331) ... After this PR it will be possible to pass a cache instance directly to a language model. This is useful to allow different language models to use different caches if needed. - **Issue:** close #19276 --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	5 months ago
Eugene Yurtsev	e4fc0e7502	core[patch]: Document BaseCache abstraction in code (#20046) ... Document the base cache abstraction in the cache.	5 months ago
Christophe Bornet	4d8a6a27a3	core[minor]: Implement aformat_prompt and ainvoke in BasePromptTemplate (#20035)	5 months ago
Christophe Bornet	7e5c1905b1	core[minor]: Add async aformat_document method (#20037)	5 months ago
Christophe Bornet	927793d088	Merge pull request #20038 ... * Implement aformat_messages for ChatMessagePromptTemplate	5 months ago
Bagatur	1b7ed6071a	anthropic[patch]: Release 0.1.6 (#20026)	5 months ago
Bagatur	6860450e48	anthropic[patch]: use anthropic 0.23 (#20022)	5 months ago
Bagatur	be3dd62de4	anthropic[patch]: fix experimental tests (#20021)	5 months ago