langchain

Commit Graph

Author	SHA1	Message	Date
Nuno Campos	808248049d	Implement a router for openai functions (#8589 )	1 year ago
Eugene Yurtsev	a6e6e9bb86	Fix airbyte loader (#8998 ) Fix airbyte loader https://github.com/langchain-ai/langchain/issues/8996	1 year ago
William FH	90579021f8	Update Key Check (#8948 ) In eval loop. It needn't be done unless you are creating the corresponding evaluators	1 year ago
Jerzy Czopek	539672a7fd	Feature/fix azureopenai model mappings (#8621 ) This pull request aims to ensure that the `OpenAICallbackHandler` can properly calculate the total cost for Azure OpenAI chat models. The following changes have resolved this issue: - The `model_name` has been added to the ChatResult llm_output. Without this, the default values of `gpt-35-turbo` were applied. This was causing the total cost for Azure OpenAI's GPT-4 to be significantly inaccurate. - A new parameter `model_version` has been added to `AzureChatOpenAI`. Azure does not include the model version in the response. With the addition of `model_name`, this is not a significant issue for GPT-4 models, but it's an issue for GPT-3.5-Turbo. Version 0301 (default) of GPT-3.5-Turbo on Azure has a flat rate of 0.002 per 1k tokens for both prompt and completion. However, version 0613 introduced a split in pricing for prompt and completion tokens. - The `OpenAICallbackHandler` implementation has been updated with the proper model names, versions, and cost per 1k tokens. Unit tests have been added to ensure the functionality works as expected; the Azure ChatOpenAI notebook has been updated with examples. Maintainers: @hwchase17, @baskaryan Twitter handle: @jjczopek --------- Co-authored-by: Jerzy Czopek <jerzy.czopek@avanade.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
shibuiwilliam	3adb1e12ca	make trajectory eval chain stricter and add unit tests (#8909 ) - update trajectory eval logic to be stricter - add tests to trajectory eval chain	1 year ago
Nuno Campos	b8df15cd64	Adds transform support for runnables (#8762 ) <!-- Thank you for contributing to LangChain! Replace this 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 you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: jacoblee93 <jacoblee93@gmail.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	4d72288487	async output parser (#8894 ) Co-authored-by: Nuno Campos <nuno@boringbits.io>	1 year ago
Bagatur	3c6eccd701	bump 259 (#8951 )	1 year ago
Harrison Chase	7de6a1b78e	parent document retriever (#8941 )	1 year ago
Aarav Borthakur	3f64b8a761	Integrate Rockset as a chat history store (#8940 ) Description: Adds Rockset as a chat history store Dependencies: no changes Tag maintainer: @hwchase17 This PR passes linting and testing. I added a test for the integration and an example notebook showing its use.	1 year ago
William FH	e3056340da	Add id in error in tracer (#8944 )	1 year ago
Bagatur	95cf7de112	scheduled tests GHA (#8879 ) Adding scheduled daily GHA that runs marked integration tests. To start just marking some tests in test_openai	1 year ago
Joe Reuter	8f0cd91d57	Airbyte based loaders (#8586 ) This PR adds 8 new loaders: * `AirbyteCDKLoader` This reader can wrap and run all python-based Airbyte source connectors. * Separate loaders for the most commonly used APIs: * `AirbyteGongLoader` * `AirbyteHubspotLoader` * `AirbyteSalesforceLoader` * `AirbyteShopifyLoader` * `AirbyteStripeLoader` * `AirbyteTypeformLoader` * `AirbyteZendeskSupportLoader` ## Documentation and getting started I added the basic shape of the config to the notebooks. This increases the maintenance effort a bit, but I think it's worth it to make sure people can get started quickly with these important connectors. This is also why I linked the spec and the documentation page in the readme as these two contain all the information to configure a source correctly (e.g. it won't suggest using oauth if that's avoidable even if the connector supports it). ## Document generation The "documents" produced by these loaders won't have a text part (instead, all the record fields are put into the metadata). If a text is required by the use case, the caller needs to do custom transformation suitable for their use case. ## Incremental sync All loaders support incremental syncs if the underlying streams support it. By storing the `last_state` from the reader instance away and passing it in when loading, it will only load updated records. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Eugene Yurtsev	15f650ae8c	Add base storage interface, 2 implementations and utility encoder (#8895 ) This PR defines an abstract interface for key value stores. It provides 2 implementations: 1. Local File System 2. In memory -- used to facilitate testing It also provides an encoder utility to help take care of serialization from arbitrary data to data that can be stored by the given store	1 year ago
Harrison Chase	7543a3d70e	Harrison/image (#845 ) Co-authored-by: Ashutosh Sanzgiri <sanzgiri@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	ab193338aa	bump 258 (#8932 )	1 year ago
Eugene Yurtsev	bb12184551	Internal code deprecation API (#8763 ) Proposal for an internal API to deprecate LangChain code. This PR is heavily based on: https://github.com/matplotlib/matplotlib/blob/main/lib/matplotlib/_api/deprecation.py This PR only includes deprecation functionality (no renaming etc.). Additional functionality can be added on a need basis (e.g., renaming parameters), but best to roll out as an MVP to test this out. DeprecationWarnings are ignored by default. We can change the policy for the deprecation warnings, but we'll need to make sure we're not creating noise for users due to internal code invoking deprecated functionality.	1 year ago
Leonid Ganeline	33a2f58fbf	`tensoflow_datasets` document loader (#8721 ) This PR adds `tensoflow_datasets` document loader	1 year ago
Holt Skinner	fad26e79a3	fix: Resolve `AttributeError` in Google Cloud Enterprise Search retriever (#8872 ) - Reverting some of the changes made in https://github.com/langchain-ai/langchain/pull/8369	1 year ago
William FH	b2eb4ff0fc	Relax Validation in Eval (#8902 ) Just check for missing keys	1 year ago
Leonid Ganeline	2d078c7767	`PubMed` document loader (#8893 ) - added `PubMed Document Loader` artifacts; ut-s; examples - fixed `PubMed utility`; ut-s @hwchase17	1 year ago
Ofer Mendelevitch	a7824f16f2	Added consistent timeout for Vectara calls (#8892 ) - Description: consistent timeout at 60s for all calls to Vectara API - Tag maintainer: @rlancemartin, @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	642b57c7ff	nit (#8927 )	1 year ago
manmax31	4a07fba9f0	Improve query prompt of BGE embeddings (#8908 ) Replace this comment with: - Description: Improved query of BGE embeddings after talking with the devs of BGE embeddings , - Dependencies: any dependencies required for this change, - Tag maintainer: @hwchase17 , - Twitter handle: @ManabChetia3 --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 year ago
Chris Pappalardo	beab637f04	added filter kwarg to VectorStoreIndexWrapper query and query_with_so… (#8844 ) - Description: added filter to query methods in VectorStoreIndexWrapper for filtering by metadata (i.e. search_kwargs) - Tag maintainer: @rlancemartin, @eyurtsev Updated the doc snippet on this topic as well. It took me a long while to figure out how to filter the vectorstore by filename, so this might help someone else out. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
David vonThenen	bf4a112aa6	Fixes to the Nebula LLM Integration (#8918 ) This addresses some issues with introducing the Nebula LLM to LangChain in this PR: https://github.com/langchain-ai/langchain/pull/8876 This fixes the following: - Removes `SYMBLAI` from variable names - Fixes bug with `Bearer` for the API KEY Thanks again in advance for your help! cc: @hwchase17, @baskaryan --------- Co-authored-by: dvonthenen <david.vonthenen@gmail.com>	1 year ago
Marie-Philippe Gill	6b9f266837	Add user_context to AmazonKendraRetriever (#8869 ) ### Description Now, we can pass information like a JWT token using user_context: ```python self.retriever = AmazonKendraRetriever(index_id=kendraIndexId, user_context={"Token": jwt_token}) ``` - [x] `make lint` - [x] `make format` - [x] `make test` Also tested by pip installing in my own project, and it allows access through the token. ### Maintainers @rlancemartin, @eyurtsev ### My twitter handle [girlknowstech](https://twitter.com/girlknowstech)	1 year ago
GitHub-L	67718c1d6b	Update OpenAPI code to fetch use the requestBody - Description: The API doc passed to LLM only included the content of responses but did not include the content of requestBody, causing the agent to be unable to construct the correct request parameters based on the requestBody information. Add two lines of code fixed the bug, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: @hinthornw , - 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!	1 year ago
Leonid Kuligin	52d6b91c18	Fixed a source for documents uploaded from GCS (#8912 ) Sets source for documents uploaded from GCS to source on gcs #8911 Co-authored-by: Leonid Kuligin <kuligin@google.com>	1 year ago
Bagatur	022ef170f8	bump 257 (#8903 )	1 year ago
Jacob Lee	fa30a57034	Adds Ollama as an LLM (#8829 ) Adds Ollama as an LLM. Ollama can run various open source models locally e.g. Llama 2 and Vicuna, automatically configuring and GPU-optimizing them. @rlancemartin @hwchase17 --------- Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
Ash Vardanian	1f9124ceaa	Add: USearch Vector Store (#8835 ) ## Description I am excited to propose an integration with USearch, a lightweight vector-search engine available for both Python and JavaScript, among other languages. ## Dependencies It introduces a new PyPi dependency - `usearch`. I am unsure if it must be added to the Poetry file, as this would make the PR too clunky. Please let me know. ## Profiles - Maintainers: @ashvardanian @davvard - Twitter handles: @ashvardanian @unum_cloud --------- Co-authored-by: Davit Vardanyan <78792753+davvard@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Leonid Kuligin	b52a3785c9	Allow to specify a custom loader for GcsFileLoader (#8868 ) Co-authored-by: Leonid Kuligin <kuligin@google.com>	1 year ago
Bruno Bornsztein	d56eff042a	Make json output parser handle newlines inside markdown code blocks (#8682 ) Update to #8528 Newlines and other special characters within markdown code blocks returned as `action_input` should be handled correctly (in particular, unescaped `"` => `\"` and `\n` => `\\n`) so they don't break JSON parsing. @baskaryan	1 year ago
Oege Dijk	cff52638b2	when encountering error during fetch return "" in web_base.py (#8753 ) when e.g. downloading a sitemap with a malformed url (e.g. "ttp://example.com/index.html" with the h omitted at the beginning of the url), this will ensure that the sitemap download does not crash, but just emits a warning. (maybe should be optional with e.g. a `skip_faulty_urls:bool=True` parameter, but this was the most straightforward fix) @rlancemartin, @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bennji94	33cdb06b5c	Async RetryOutputParser, RetryWithErrorOutputParser and OutputFixingParser (#8776 ) Added async parsing functions for RetryOutputParser, RetryWithErrorOutputParser and OutputFixingParser. The async parse functions call the arun methods of the used LLMChains. Fix for #7989 --------- Co-authored-by: Benjamin May <benjamin.may94@gmail.com>	1 year ago
Joshua Sundance Bailey	7fc07ba5df	Create ChatAnyscale (#8770 ) - Description: Adds the ChatAnyscale class with llama-2 7b, llama-2 13b, and llama-2 70b on [Anyscale Endpoints](https://app.endpoints.anyscale.com/) - It inherits from ChatOpenAI and requires openai (probably unnecessary but it made for a quick and easy implementation) - Inspired by https://github.com/langchain-ai/langchain/pull/8434 (@kylehh and @baskaryan )	1 year ago
idcore	fe78aff1f2	Add new parameter forced_decoder_ids to OpenAIWhisperParserLocal + small bug fix (#8793 ) - Description: new parameter forced_decoder_ids for OpenAIWhisperParserLocal to force input language, and enable optional translate mode. Usage example: processor = WhisperProcessor.from_pretrained("openai/whisper-medium") forced_decoder_ids = processor.get_decoder_prompt_ids(language="french", task="transcribe") #forced_decoder_ids = processor.get_decoder_prompt_ids(language="french", task="translate") loader = GenericLoader(YoutubeAudioLoader(urls, save_dir), OpenAIWhisperParserLocal(lang_model="openai/whisper-medium",forced_decoder_ids=forced_decoder_ids)) - Issue #8792 - Tag maintainer: @rlancemartin, @eyurtsev --------- Co-authored-by: idcore <eugene.novozhilov@gmail.com>	1 year ago
David vonThenen	40079d4936	Introduce Nebula LLM to LangChain (#8876 ) ## Description This PR adds Nebula to the available LLMs in LangChain. Nebula is an LLM focused on conversation understanding and enables users to extract conversation insights from video, audio, text, and chat-based conversations. These conversations can occur between any mix of human or AI participants. Examples of some questions you could ask Nebula from a given conversation are: - What could be the customer’s pain points based on the conversation? - What sales opportunities can be identified from this conversation? - What best practices can be derived from this conversation for future customer interactions? You can read more about Nebula here: https://symbl.ai/blog/extract-insights-symbl-ai-generative-ai-recall-ai-meetings/ #### Integration Test An integration test is added, but it requires network access. Since Nebula is fully managed like OpenAI, network access is required to exercise the integration test. #### Linting - [x] make lint - [x] make test (TODO: there seems to be a failure in another non-related test??? Need to check on this.) - [x] make format ### Dependencies No new dependencies were introduced. ### Twitter handle [@symbldotai](https://twitter.com/symbldotai) [@dvonthenen](https://twitter.com/dvonthenen) If you have any questions, please let me know. cc: @hwchase17, @baskaryan --------- Co-authored-by: dvonthenen <david.vonthenen@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Eugene Yurtsev	f616aee35a	JsonOutputFunctionParser: Fix mutation in place bug (#8758 ) Fixes mutation in place in the JsonOutputFunctionParser. This causes issues when trying to re-use the original AI message.	1 year ago
shibuiwilliam	ab47557db3	fix evaluation parse test (#8859 ) # What - fix evaluation parse test <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: Fix evaluation parse test - Issue: None - Dependencies: None - Tag maintainer: @baskaryan - Twitter handle: @MLOpsJ Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
manmax31	40096c73cd	Add BGE embeddings support (#8848 ) - Description: [BGE-large](https://huggingface.co/BAAI/bge-large-en) embeddings from BAAI are at the top of [MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard). Hence adding support for it. - Tag maintainer: @baskaryan - Twitter handle: @ManabChetia3 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
shibuiwilliam	fbc83dfdbb	Fix/abstract add message (#8856 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: Fix/abstract add message - Issue: None - Dependencies: None - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: @MLOpsJ Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
William FH	91be7eee66	Add concurrency support for run_on_dataset (#8841 ) Long-term, would be better to use the lower-level batch() method(s) but it may take me a bit longer to clean up. This unblocks in the meantime, though it may fail when the evaluated chain raises a `NotImplementedError` for a corresponding async method	1 year ago
Bagatur	fc2f450f2d	bump 256 (#8870 )	1 year ago
Tudor Golubenco	aeaef8f3a3	Add support for Xata as a vector store (#8822 ) This adds support for [Xata](https://xata.io) (data platform based on Postgres) as a vector store. We have recently added [Xata to Langchain.js](https://github.com/hwchase17/langchainjs/pull/2125) and would love to have the equivalent in the Python project as well. The PR includes integration tests and a Jupyter notebook as docs. Please let me know if anything else would be needed or helpful. I have added the xata python SDK as an optional dependency. ## To run the integration tests You will need to create a DB in xata (see the docs), then run something like: ``` OPENAI_API_KEY=sk-... XATA_API_KEY=xau_... XATA_DB_URL='https://....xata.sh/db/langchain' poetry run pytest tests/integration_tests/vectorstores/test_xata.py ``` <!-- Thank you for contributing to LangChain! Replace this 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 you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Philip Krauss <35487337+philkra@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Leonid Kuligin	6e3fa59073	Added chat history to codey models (#8831 ) #7469 since 1.29.0, Vertex SDK supports a chat history provided to a codey chat model. Co-authored-by: Leonid Kuligin <kuligin@google.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Massimiliano Pronesti	a616e19975	feat(llms): add support for vLLM (#8806 ) Hello langchain maintainers, this PR aims at integrating [vllm](https://vllm.readthedocs.io/en/latest/#) into langchain. This PR closes #8729. This feature clearly depends on `vllm`, but I've seen other models supported here depend on packages that are not included in the pyproject.toml (e.g. `gpt4all`, `text-generation`) so I thought it was the case for this as well. @hwchase17, @baskaryan --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Bagatur	100d9ce4c7	bump 255 (#8865 )	1 year ago
Vic Cao	c9da300e4d	fix: overwrite stream for ChatOpenAI in runtime (#8288 ) <!-- Thank you for contributing to LangChain! Replace this 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 you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> @hwchase17, @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Nuno Campos <nuno@boringbits.io>	1 year ago

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