langchain

Commit Graph

Author	SHA1	Message	Date
Bagatur	14bfc5f9f4	langchain[patch]: Release 0.0.349 (#14570 )	10 months ago
Erick Friis	482e2b94fa	infra: import CI speed (#14566 ) Was taking 10 mins. Now a few seconds.	10 months ago
Bagatur	6a828e60ee	community[patch]: Release 0.0.1 (#14565 )	10 months ago
Erick Friis	5418d8bfd6	infra: import CI fix (#14562 ) TIL `**` globstar doesn't work in make Makefile changes fix that. `__getattr__` changes allow import of all files, but raise error when accessing anything from the module. file deletions were corresponding libs change from #14559	10 months ago
Bagatur	9cb128e6e2	core[patch]: Release 0.0.13 (#14558 )	10 months ago
Bagatur	a844b495c4	community[patch]: Fix agenttoolkits imports (#14559 )	10 months ago
Nuno Campos	3b5b0f16c6	Move runnable context to beta (#14507 ) <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
Bagatur	ed58eeb9c5	community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463 ) Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes	10 months ago
Eugene Yurtsev	c0f4b95aa9	RunnableWithMessageHistory: Fix input schema (#14516 ) Input schema should not have history key	10 months ago
Harrison Chase	f5befe3b89	manual mapping (#14422 )	10 months ago
Erick Friis	c24f277b7c	langchain[patch], docs[patch]: use byte store in multivectorretriever (#14474 )	10 months ago
Anish Nag	6da0cfea0e	experimental[patch]: SmartLLMChain Output Key Customization (#14466 ) Description The `SmartLLMChain` was was fixed to output key "resolution". Unfortunately, this prevents the ability to use multiple `SmartLLMChain` in a `SequentialChain` because of colliding output keys. This change simply gives the option the customize the output key to allow for sequential chaining. The default behavior is the same as the current behavior. Now, it's possible to do the following: ``` from langchain.chat_models import ChatOpenAI from langchain.prompts import PromptTemplate from langchain_experimental.smart_llm import SmartLLMChain from langchain.chains import SequentialChain joke_prompt = PromptTemplate( input_variables=["content"], template="Tell me a joke about {content}.", ) review_prompt = PromptTemplate( input_variables=["scale", "joke"], template="Rate the following joke from 1 to {scale}: {joke}" ) llm = ChatOpenAI(temperature=0.9, model_name="gpt-4-32k") joke_chain = SmartLLMChain(llm=llm, prompt=joke_prompt, output_key="joke") review_chain = SmartLLMChain(llm=llm, prompt=review_prompt, output_key="review") chain = SequentialChain( chains=[joke_chain, review_chain], input_variables=["content", "scale"], output_variables=["review"], verbose=True ) response = chain.run({"content": "chickens", "scale": "10"}) print(response) ``` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Erick Friis	b3f226e8f8	core[patch], langchain[patch], experimental[patch]: import CI (#14414 )	10 months ago
Eugene Yurtsev	37bee92b8a	Use deepcopy in RunLogPatch (#14244 ) This PR adds deepcopy usage in RunLogPatch. I included a unit-test that shows an issue that was caused in LangServe in the RemoteClient. ```python import jsonpatch s1 = {} s2 = {'value': []} s3 = {'value': ['a']} ops0 = list(jsonpatch.JsonPatch.from_diff(None, s1)) ops1 = list(jsonpatch.JsonPatch.from_diff(s1, s2)) ops2 = list(jsonpatch.JsonPatch.from_diff(s2, s3)) ops = ops0 + ops1 + ops2 jsonpatch.apply_patch(None, ops) {'value': ['a']} jsonpatch.apply_patch(None, ops) {'value': ['a', 'a']} jsonpatch.apply_patch(None, ops) {'value': ['a', 'a', 'a']} ```	10 months ago
Erick Friis	1d7e5c51aa	langchain[patch]: xfail unstable vertex test (#14462 )	10 months ago
Harrison Chase	02ee0073cf	revoke serialization (#14456 )	10 months ago
Erick Friis	1d725327eb	langchain[patch]: Fix scheduled testing (#14428 ) - integration tests in pyproject - integration test fixes	10 months ago
Harrison Chase	7be3eb6fbd	fix imports from core (#14430 )	10 months ago
Bagatur	52052cc7b9	experimental[patch]: Release 0.0.45 (#14418 )	10 months ago
Bagatur	e4d6e55c5e	langchain[patch]: Release 0.0.348 (#14417 )	10 months ago
Bagatur	eb209e7ee3	core[patch]: Release 0.0.12 (#14415 )	10 months ago
Bagatur	b2280fd874	core[patch], langchain[patch]: fix required deps (#14373 )	10 months ago
Kacper Łukawski	76f30f5297	langchain[patch]: Rollback multiple keys in Qdrant (#14390 ) This reverts commit `38813d7090`. This is a temporary fix, as I don't see a clear way on how to use multiple keys with `Qdrant.from_texts`. Context: #14378	10 months ago
Erick Friis	54040b00a4	langchain[patch]: fix ChatVertexAI streaming (#14369 )	10 months ago
Bagatur	db6bf8b022	langchain[patch]: Release 0.0.347 (#14368 )	10 months ago
Bagatur	a7271cf5bd	core[patch]: Release 0.0.11 (#14367 )	10 months ago
Nuno Campos	77c38df36c	[core/minor] Runnables: Implement a context api (#14046 ) <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Brace Sproul <braceasproul@gmail.com>	10 months ago
Erick Friis	8f95a8206b	core[patch]: message history error typo (#14361 )	10 months ago
William FH	e5bd32ff6d	Include run_id (#14331 ) in the test run outputs	10 months ago
Bagatur	cc76f0e834	langchain[patch]: import nits (#14354 ) import from core instead of langchain.schema	10 months ago
Jacob Lee	867ca6d0be	Fix multi vector retriever subclassing (#14350 ) Fixes #14342 @eyurtsev @baskaryan --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Erick Friis	7bdfc43766	core[patch], langchain[patch]: ByteStore (#14312 )	10 months ago
Eugene Yurtsev	0dea8cc62d	Update doc-string in RunnableWithMessageHistory (#14262 ) Update doc-string in RunnableWithMessageHistory	10 months ago
Jean-Baptiste dlb	38813d7090	Qdrant metadata payload keys (#13001 ) - Description: In Qdrant allows to input list of keys as the content_payload_key to retrieve multiple fields (the generated document will contain the dictionary {field: value} in a string), - Issue: Previously we were able to retrieve only one field from the vector database when making a search - Dependencies: - Tag maintainer: - Twitter handle: @jb_dlb --------- Co-authored-by: Jean Baptiste De La Broise <jeanbaptiste.delabroise@mdpi.com>	10 months ago
Yuchen Liang	ad6dfb6220	feat: mask api key for cerebriumai llm (#14272 ) - Description: Masking API key for CerebriumAI LLM to protect user secrets. - Issue: #12165 - Dependencies: None - Tag maintainer: @eyurtsev --------- Signed-off-by: Yuchen Liang <yuchenl3@andrew.cmu.edu> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
newfinder	d4d64daa1e	Mask API key for baidu qianfan (#14281 ) Description: This PR masked baidu qianfan - Chat_Models API Key and added unit tests. Issue: the issue langchain-ai#12165. Tag maintainer: @eyurtsev --------- Co-authored-by: xiayi <xiayi@bytedance.com>	10 months ago
cxumol	06e3316f54	feat(add): LLM integration of Cloudflare Workers AI (#14322 ) Add [Text Generation by Cloudflare Workers AI](https://developers.cloudflare.com/workers-ai/models/text-generation/). It's a new LLM integration. - Dependencies: N/A	10 months ago
Harutaka Kawamura	5efaedf488	Exclude `max_tokens` from request if it's None (#14334 ) <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> We found a request with `max_tokens=None` results in the following error in Anthropic: ``` HTTPError: 400 Client Error: Bad Request for url: https://oregon.staging.cloud.databricks.com/serving-endpoints/corey-anthropic/invocations. Response text: {"error_code":"INVALID_PARAMETER_VALUE","message":"INVALID_PARAMETER_VALUE: max_tokens was not of type Integer: null"} ``` This PR excludes `max_tokens` if it's None.	10 months ago
MinjiK	a1a11ffd78	Amadeus toolkit minor update (#13002 ) - update `Amadeus` toolkit with ability to switch Amadeus environments - update minor code explanations --------- Co-authored-by: MinjiK <minji.kim@amadeus.com>	10 months ago
Alexandre Dumont	b05c46074b	OpenAIEmbeddings: retry_min_seconds/retry_max_seconds parameters (#13138 ) - Description: new parameters in OpenAIEmbeddings() constructor (retry_min_seconds and retry_max_seconds) that allow parametrization by the user of the former min_seconds and max_seconds that were hidden in _create_retry_decorator() and _async_retry_decorator() - Issue: #9298, #12986 - Dependencies: none - Tag maintainer: @hwchase17 - Twitter handle: @adumont make format ✅ make lint ✅ make test ✅ Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
mogith-pn	9e5d146409	Updated integration with Clarifai python SDK functions (#13671 ) Description : Updated the functions with new Clarifai python SDK. Enabled initialisation of Clarifai class with model URL. Updated docs with new functions examples.	10 months ago
dudub12	8f403ea2d7	info sql tool remove whitespaces in table names (#13712 ) Remove whitespaces from the input of the ListSQLDatabaseTool for better support. for example, the input "table1,table2,table3" will throw an exception whiteout the change although it's a valid input. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
balaba-max	64d5108f99	Feature: GitLab url from ENV (#14221 ) <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: add gitlab url from env, - Issue: no issue, - Dependencies: no, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
kavinraj A S	ab6b41937a	Fixed a typo in smart_llm prompt (#13052 ) <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
jeffpezzone	7c2ef06136	Adds "NIN" metadata filter for pgvector to all checking for set absence (#14205 ) This PR adds support for metadata filters of the form: `{"filter": {"key": { "NIN" : ["list", "of", "values"]}}}` "IN" is already supported, so this is a quick & related update to add "NIN"	10 months ago
lif	20d2b4a6ba	feat: Increased compatibility with new and old versions for dalle (#14222 ) - Description: Increased compatibility with all versions openai for dalle, This pr add support for openai version from 0 ~ 1.3.	10 months ago
Wang Wei	7205bfdd00	feat: 1. Add system parameters, 2. Align with the QianfanChatEndpoint for function calling (#14275 ) - Description: 1. Add system parameters to the ERNIE LLM API to set the role of the LLM. 2. Add support for the ERNIE-Bot-turbo-AI model according from the document https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Alp0kdm0n. 3. For the function call of ErnieBotChat, align with the QianfanChatEndpoint. With this PR, the `QianfanChatEndpoint()` can use the `function calling` ability with `create_ernie_fn_chain()`. The example is as the following: ``` from langchain.prompts import ChatPromptTemplate import json from langchain.prompts.chat import ( ChatPromptTemplate, ) from langchain.chat_models import QianfanChatEndpoint from langchain.chains.ernie_functions import ( create_ernie_fn_chain, ) def get_current_news(location: str) -> str: """Get the current news based on the location.' Args: location (str): The location to query. Returs: str: Current news based on the location. """ news_info = { "location": location, "news": [ "I have a Book.", "It's a nice day, today." ] } return json.dumps(news_info) def get_current_weather(location: str, unit: str="celsius") -> str: """Get the current weather in a given location Args: location (str): location of the weather. unit (str): unit of the tempuature. Returns: str: weather in the given location. """ weather_info = { "location": location, "temperature": "27", "unit": unit, "forecast": ["sunny", "windy"], } return json.dumps(weather_info) template = ChatPromptTemplate.from_messages([ ("user", "{user_input}"), ]) chat = QianfanChatEndpoint(model="ERNIE-Bot-4") chain = create_ernie_fn_chain([get_current_weather, get_current_news], chat, template, verbose=True) res = chain.run("北京今天的新闻是什么？") print(res) ``` The result of the above code: ``` > Entering new LLMChain chain... Prompt after formatting: Human: 北京今天的新闻是什么？ > Finished chain. {'name': 'get_current_news', 'arguments': {'location': '北京'}} ``` For the `ErnieBotChat`, now can use the `system` parameter to set the role of the LLM. ``` from langchain.prompts import ChatPromptTemplate from langchain.chains import LLMChain from langchain.chat_models import ErnieBotChat llm = ErnieBotChat(model_name="ERNIE-Bot-turbo-AI", system="你是一个能力很强的机器人，你的名字叫小叮当。无论问你什么问题，你都可以给出答案。") prompt = ChatPromptTemplate.from_messages( [ ("human", "{query}"), ] ) chain = LLMChain(llm=llm, prompt=prompt, verbose=True) res = chain.run(query="你是谁？") print(res) ``` The result of the above code: ``` > Entering new LLMChain chain... Prompt after formatting: Human: 你是谁？ > Finished chain. 我是小叮当，一个智能机器人。我可以为你提供各种服务，包括回答问题、提供信息、进行计算等。如果你需要任何帮助，请随时告诉我，我会尽力为你提供最好的服务。 ```	10 months ago
Leonid Kuligin	fd5be55a7b	added get_num_tokens to GooglePalm (#14282 ) added get_num_tokens to GooglePalm + a little bit of refactoring	10 months ago
Massimiliano Pronesti	c215a4c9ec	feat(embeddings): text-embeddings-inference (#14288 ) - Description: Added a notebook to illustrate how to use `text-embeddings-inference` from huggingface. As `HuggingFaceHubEmbeddings` was using a deprecated client, I made the most of this PR updating that too. - Issue: #13286 - Dependencies: None - Tag maintainer: @baskaryan	10 months ago
Tim Van Wassenhove	85b88c33f3	Fixes issue-14295: Correctly pass along the kwargs (#14296 ) - Description: Update code to correctly pass the kwargs - Issue: #14295 - Dependencies: - - Tag maintainer: <-- If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> #issue-14295	10 months ago

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2106 Commits (14bfc5f9f477fcffff3f9aa564a864c5d5cd5300)